Dr. Raj Krishna Mondal

Data Scientist

About

AI Researcher | Data Scientist | Mathematician

I am a Data Scientist, AI Researcher, and Mathematician specializing in Artificial Intelligence, Generative AI, Natural Language Processing (NLP), Large Language Models (LLMs), and Prompt Engineering, with a Ph.D. in Mathematics and Scientific Computing, I focus on designing AI-powered solutions that drive automation, decision-making, and intelligent information systems.

Currently, I am leading the development of an AI-powered cognitive search engine, integrating large language models (LLMs), agent-based AI, and NLP to transform data interaction. My work focuses on algorithm design, AI-driven automation, and intelligent decision-making systems to enhance business intelligence, healthcare analytics, and advanced computing.

Beyond research and development, I am actively involved in academia, mentoring AI enthusiasts, contributing to AI-driven publications, and sharing my knowledge through conferences and workshops. Let's connect and explore the future of AI together!

Areas of Interest

Data Science Machine Learning Deep Learning Generative AI Agentic AI Natural Language Processing Prompt Engineering Big Data Soft Computing Qualitative Research Fuzzy Set Theory Complex Decision Making

Education

My academic journey reflects a strong foundation in Mathematics and Scientific Computing, leading to advanced research in Computational Mathematics.

Secondary Education

Secondary Education

School: Mijalapur Birindra Vidyapith

Board: West Bengal Board of Secondary Education

Year: 2007

Marks: 79.75%

Higher Secondary Education

Higher Secondary Education

School: Contai Model Institution

Board: West Bengal Council of Higher Secondary Education

Year: 2009

Marks: 79.40%

Bachelor of Science

Bachelor of Science (B.Sc.)

College: Surendranath College

University: University of Calcutta

Year: 2014

Specialization: Mathematics Honours

Marks: 61.25%

Master of Science

Master of Science (M.Sc.)

Institute: Motilal Nehru National Institute of Technology (MNNIT), Allahabad

Year: 2016

Specialization: Mathematics and Scientific Computing

CGPA: 7.62/10

4th Semester Project Title: On Perspectives and Application of Fuzzy Initial Value Problems

Abstract

On this project, we discussed fuzzy differential equations and fuzzy initial value problems. It introduces fuzzy sets and fuzzy differential equations as extensions of classical set theory and differential equations to account for uncertainty. Several examples of fuzzy initial value problems are analyzed, comparing their behaviors under different types of differentiability. The solutions exhibit very different properties, even though the original crisp equations were equivalent, showing that different fuzzy representations can model the same real-world problem very differently.

Ph.D. in Computational Mathematics

Ph.D. in Computational Mathematics

Institute: Motilal Nehru National Institute of Technology (MNNIT), Allahabad

Year: 2022

CGPA: 7.67/10

Thesis: A study on Design and Development of Soft Computing Diagnostic Information System in Medical Science

Abstract

The complexity and uncertainty in medical diagnosis necessitate the development of intelligent systems capable of handling imprecise, vague, and ambiguous data. This research focuses on the design and development of a Soft Computing-based Diagnostic Information System to enhance decision-making in medical science. Utilizing fuzzy logic, hesitant fuzzy sets, and computing with words, the study addresses challenges in diagnosing diabetes, assessing kidney function, and ranking qualitative medical conditions. A novel Hesitant Fuzzy Envelope-based Expert System is introduced to model human decision-making under uncertainty. Additionally, a QUALIFLEX-based ranking approach is implemented to prioritize medical conditions efficiently. The research further explores a Diet Recommendation System incorporating soft computing techniques to provide personalized dietary suggestions. The findings contribute to the advancement of medical diagnostic systems, improving accuracy and decision support in healthcare.

Objectives

Secondary Education

To uphold integrity in my work and secure a role in industry or research where I can effectively leverage my expertise in Intelligence, Generative AI, Natural Language Processing, and Data Science

I aim to

  • Expand my knowledge and stay updated with the latest advancements in AI and Data Science.
  • Contribute meaningfully to innovative projects that solve real-world problems.
  • Work collaboratively in a dynamic environment that fosters creativity and critical thinking.
  • Utilize my technical skills to drive efficiency, automation, and smarter decision-making.
  • Engage in continuous learning and professional development to enhance my expertise.

Technical Skills

Expert in AI, Data Science, Software Development, and Prompt Engineering.

Operating Platforms

Windows 99%
Linux 90%
MacOS 95%

Programming Languages

Python 95%
C 85%
C++ 80%
R 80%
SQL 87%

Prompt Engineering

LangChain 90%
LangGraph 85%
CrewAI 80%
AutoGen 75%

Tools

Scikit-Learn, Numpy, Pandas 95%
Seaborn, Plotly, Matplotlib 90%
TensorFlow, Keras, PyTorch 90%
PySpark, Spacy, NLTK 80%

Software

Tableau, Power BI, Excel 90%
MATLAB 95%
Mathematica 80%
GeoGebra 90%
Maple 70%

Database/Server

MySQL 85%
MongoDB 85%
Neo4j 75%

Research & Achievements

Dr. Rajkrishna Mondal has made significant contributions in AI, Soft Computing, and Mathematical Modeling, with publications, certifications, and active participation in international conferences and workshops.

Research Papers Published in reputed journals

Conference Papers Presented at international conferences

AI Research Projects Published on GitHub

Best Paper Award ICRTIMR-2020

Professional Certifications Deep Learning, NLP, AI

Workshops Attended AI, Big Data, Cryptology

Conferences Attended Global AI & Data Science

Organized Conferences FAI International Events

Publications

Our research harnesses advanced fuzzy logic and computational intelligence to solve complex decision-making challenges in healthcare, engineering, and data analytics. We develop innovative models—such as fuzzy utility matrices, interval-valued hesitant fuzzy sets, and hybrid intelligent systems—to improve diagnostics, optimize diet recommendations for metabolic disorders, and enhance multi-criteria decision-making.

Our findings are widely disseminated through leading international journals, and we actively share our work at global conferences and specialized workshops. These events provide a platform for collaboration, knowledge exchange, and real-world application of our research.

Publication Reference
PUBLICATIONS
PAPER PRESENTED IN CONFERENCES
2022

Fuzzy Utility Matrix-Based Intelligent Decision-Making Model and Its Application to Diet Recommendation System for Metabolic Disorder Patients

Rajkrishna Mondal and Pankaj Srivastava

International Journal of Fuzzy System Applications (IJFSA)

Vol. 11(1) (pp. 1-22), IGI Global

Abstract

In the present article an effort has been made to design and develop a diet recommendation system for metabolic disorder patients. The key feature of this system is to recommend a dinner menu that maintains the required nutritional micros based on the patient’s personal information, physical activity, environment, and food habits. The system is structured in phases—from calculating calorie requirements to developing a knowledge base and finally designing the recommendation system. Validation using the Degree of Match algorithm and expert feedback confirms its utility in assisting both urban and rural populations.

2021

Design and Development of Intelligent Information System Using Hesitant Fuzzy Weighting Linguistic Term Sets for Computing with Words

Pankaj Srivastava and Rajkrishna Mondal

Mathematical, Computational Intelligence and Engineering Approaches for Tourism, Agriculture and Healthcare (LNNS, Volume 214)

Lecture Notes in Networks and Systems, pp. 195–207, Springer

Abstract

This paper presents an intelligent information system developed on the basis of Hesitant Fuzzy Weighting Linguistic Term Sets for computing with words. The system addresses the inherent impreciseness and hesitation in decision-making by providing a structured approach to scaling and weighting linguistic criteria, thereby enabling more accurate conclusions in complex decision scenarios.

2021

QUALIFLEX based ranking system by using Interval Valued Hesitant Fuzzy Set and its application to rank the Diabetic patients

Pankaj Srivastava and Rajkrishna Mondal

2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS 2021)

(pp. 78-85), IEEE

Abstract

This study introduces a ranking system based on QUALIFLEX methodology which utilizes Interval Valued Hesitant Fuzzy Sets for evaluating and ranking diabetic patients. The approach aggregates uncertain evaluations into a fuzzy utility matrix, providing an effective tool for clinical decision support in diabetes care.

2021

Design and Development of an Intelligent System to Assess Kidney Performances of Persons Suffering from Diabetes

Pankaj Srivastava and Rajkrishna Mondal

International Transaction Journal of Engineering, Management, and Applied Sciences and Technologies

Vol. 12(4) (pp. 12A4A:1-14), TuEngr Group

Abstract

The paper outlines an intelligent system for assessing kidney performance in diabetic patients. Utilizing fuzzy logic techniques, the system integrates various clinical parameters to provide a comprehensive evaluation of kidney function. Its performance is validated through expert assessments and statistical analysis, proving its potential in clinical diagnostics.

2021

A Hesitant Fuzzy Envelope Based Expert System in Human Decision Making

Pankaj Srivastava and Rajkrishna Mondal

Nepal Journal of Mathematical Sciences

Vol. 2(1) (pp. 1-6), ISSN: 2738-9928

Abstract

This work presents an expert system employing a Hesitant Fuzzy Envelope approach to capture the inherent uncertainty and hesitation in human decision-making. By outputting an envelope of potential outcomes rather than a single crisp result, the system offers a more nuanced and realistic representation of group decision-making processes.

2020

Diabetes Diagnostic Intelligent Information System

Pankaj Srivastava and Rajkrishna Mondal

TEST Engineering and Management

Vol. 82: Jan/Feb 2020 (pp. 14455-4467), The Mattingley Publishing Co., Inc

Abstract

This article describes a diagnostic system for diabetes that integrates fuzzy logic with intelligent algorithms to evaluate patient data. The system effectively calculates diagnostic parameters and offers a reliable alternative to traditional diagnostic methods, as verified by statistical tests and expert review.

2019

A Medical Diagnostic Information System with Computing with Words Using Hesitant Fuzzy Sets

Rajkrishna Mondal, Akshay Verma and Pushpendra Kumar Gupta

Advances in VLSI, Communication, and Signal Processing

(pp. 971–980), Springer

Abstract

This chapter introduces a medical diagnostic system that utilizes the computing with words paradigm via Hesitant Fuzzy Sets. The system transforms qualitative medical judgments into computational data, facilitating more effective diagnostic decision-making. Comparative analyses demonstrate its improved performance over traditional methods.

2018

Neural based energy-efficient stable clustering for multilevel heterogeneous WSNs

Akshay Verma, Rajkrishna Mondal, Prateek Gupta and Arvind Kumar

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)

(pp. 208-212), IEEE

Abstract

This paper proposes a neural network based algorithm for clustering in multilevel heterogeneous Wireless Sensor Networks. Focusing on energy efficiency and network stability, the algorithm integrates fuzzy logic with neural computation to improve clustering performance. Simulation results confirm significant improvements over conventional methods.

25-27 Jun, 2021

24th FAI International Conference on Global Trends of Data Analytics in Business Management, Social Sciences, Medical Sciences and Decision making (24th FAI-ICDBSMD 2021)

Presented paper Title: Fuzzy Utility Matrix based Intelligent Decision-Making Mathematical model and its application in Diet recommendation system for Metabolic Disorders patient

Organized by FATER Academy of India; Institute of Technology, Gopeshwar and UNIFACVEST – University Center, Brazil

19-20 Feb, 2021

International Conference on Computing, Communication, and Intelligent Systems (ICCCIS-2021)

Presented paper Title: QUALIFLEX based ranking system by using Interval Valued Hesitant Fuzzy Set and its application to rank the Diabetic patients

Organized by Sharda University, Greater Noida, India

IEEE Conference Record 51004; ISBN No.: 978-1-7281-8529-3

14 Mar, 2020

International Conference on Recent Trends and Innovations in Multidisciplinary Research (ICRTIMR-2020)

Presented paper Title: Diabetes Diagnostic Intelligent Information System

Organized by IEC University, Baddi, H.P., India

Jointly organized by Globally Multidisciplinary Research and Education Association (GMREA)

21-23 Dec, 2019

International Conference on Engineering, Mathematical and Computational Intelligence (ICEMCI-2019)

Presented paper Title: Design and Development of Intelligent Information System using Hesitant Fuzzy Weighting Linguistic Term Sets for Computing with Words

Organized by Jabalpur Engineering College, Jabalpur, Madhya Pradesh, India in association with FATER Academy of India and Walchand Engineering College, Sangli, Maharashtra, India

16-17 Nov, 2019

Conference on Modern Analysis and Applications – An International Meet (CMAA-2019) (67th Annual Conference of Bharat Ganita Parishad)

Presented paper Title: Intelligent Diet Recommendation System for Metabolic Disorders Patient

Organized by The Department of Mathematics and Computer Science, Babu Banarasi Das University, Lucknow (Uttar Pradesh), India in collaboration with Bharat Ganita Parishad, Lucknow, India

15-16 Apr, 2019

National Conference on Recent Trends in Devices, Circuits and Communication (RTDC2-2019)

Presented paper Title: A Hesitant Fuzzy based expert system in Human Decision making

Organized by Department of Electronics and Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, UP, India

29 Nov-1 Dec, 2018

International Conference on VLSI, Communication and Signal Processing (VCAS 2018)

Presented paper Title: A Medical diagnostic information system with Computing with Words using Hesitant Fuzzy Sets

Organized by ECE Department, MNNIT Allahabad, Prayagraj, India

24-25 Mar, 2018

International Conference on Recent Trends in Mathematical Sciences (ICRTMS-2018)

Presented paper Title: Application of Hesitant Fuzzy Set for multi-criteria decision making Soft Computing Model in Diabetes Diagnostics

Organized by Department of Applied Mathematics, Maharaja Bir Bikram Univesity, Tripura, India in collaboration with Tripura Mathematical Society, Tripura, India

27-28 May, 2021

II International Scientific Internet Conference on ACTUAL PROBLEMS OF PHYSICAL CULTURE, SPORTS AND HEALTH

Jointly organized by The Bohdan Khmelnytsky National University of Cherkasy

07-08 Sept, 2019

Machine Learning Workshop

Organized by Kyrion Technologies Pvt. Ltd. at IIIT Allahabad

01-05 Apr, 2019

Application of MATLAB in Science and Technology (AMST -2019)

Jointly organized by Department of Physics, MNNIT Allahabad, Prayagraj, India and Electrical Engineering Department, KNIT Sultanpur, Uttar Pradesh, India

6-10 Jun, 2018

National Instructional Workshop on Cryptology

Organized by Department of Mathematics, MNNIT Allahabad in collaboration with Cryptology Research Society of India

11-15 Dec, 2017

Fuzzy Techniques for Intelligent Decision Making

Organized by IIT Patna in collaboration with Global Initiative of Academic Networks (GIAN)

7-11 Aug, 2017

Big Data

Organized by IIT Kanpur in collaboration with Knowledge Incubation for TEQIP

29 May -2 Jun, 2017

Data Analytics and Machine Learning with R (DAMLR-17)

Organized by the Department of Computer Science and Engineering, MNNIT Allahabad, Prayagraj, India

1-7 Dec, 2016

Application of MATLAB in Science, Technology and Management (AMSTM-2016)

Organized by School of Management studies and Dapartment of Mathematics, MNNIT Allahabad, Prayagraj, India

19-23 Oct, 2016

Role of Mathematical Sciences in Engineering and Technology (RMSET-16)

Organized by Department of Mathematics, MNNIT Allahabad, Prayagraj, India

8-26 Jun, 2015

Summer Program in Mathematics (SPIM 2015)

Organized by Harish-Chandra Research Institute, Prayagraj, India

Attended Conferences and Workshops

The various conferences and workshops I have attended, where I have had the opportunity to present research, participate in discussions, and gain hands-on experience in emerging technologies. Conferences have allowed me to engage with experts, explore the latest advancements, and contribute to knowledge-sharing in fields like artificial intelligence, data science, and cybersecurity. Meanwhile, workshops have provided immersive, practical learning experiences, enhancing my skills in areas such as cloud computing, cybersecurity, and machine learning. Together, these experiences have broadened my understanding and strengthened my expertise, fostering continuous learning and professional growth.

  • All
  • Conferences
  • Workshops

24th FAI-ICDBSMD 2021

25-27 June, 2021

ICCCIS-2021

19-20 February, 2021

CMAA -2019

16-17 Nov, 2019

RTDC2-2019

15-16 Apr, 2019

VCAS 2018

29 Nov-1 Dec, 2018

ICRTMS-2018

24-25 Mar, 2018

ACTUAL PROBLEMS OF PHYSICAL CULTURE, SPORTS AND HEALTH

27-28 May, 2021

MACHINE LEARNING WORKSHOP

7-8 Sept, 2019

AMST-2019

1-5 April, 2019

National Instructional Workshop on Cryptology 2018

6-10 Jun, 2018

Fuzzy Techniques for Intelligent Decision Making

11-15 Dec, 2017

Big Data

7-11 Aug, 2017

Data Analytics and Machine Learning with R (DAMLR-17)

29 May -2 Jun, 2017

Application of MATLAB in Science, Technology and Management (AMSTM-2016)

1-7 Dec, 2016

Role of Mathematical Sciences in Engineering and Technology (RMSET-16)

19-23 Oct, 2016

Summer Program in Mathematics (SPIM)

8-26 Jun, 2015

Talent Search Test on Geography

2005

LICENSES & CERTIFICATIONS

Certified in SQL, Machine Learning, Deep Learning, and Generative AI from platforms like Coursera and Udemy. Specialized in NLP, Big Data, and AI with expertise in LangChain, LLMs, and agentic AI. Holds multiple advanced certifications in deep learning, sequence models, and big data from institutions like DeepLearning.AI and IBM.

  • All
  • Deep Learning
  • NLP
  • LLM
  • Big Data

Neural Networks and Deep Learning

June 6, 2022

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

June 27, 2022

Sequence Models

July 30, 2022

Deep Neural Networks with PyTorch

September 1, 2022

Natural Language Processing with Sequence Models

September 8, 2022

Natural Language Processing with Attention Models

October 21, 2022

Generative AI with Large Language Models

November 22, 2023

Introduction to Big Data

October 29, 2022

Big Data Modeling and Management Systems

November 7, 2022

Short Courses on Generative AI from DeepLearning.AI

Completed multiple short courses on Generative AI from DeepLearning.AI, covering LangChain, Retrieval-Augmented Generation (RAG), fine-tuning LLMs, semantic search, agentic workflows, and multi-agent systems. Specialized in building AI applications, database agents, and serverless AI workflows using LlamaIndex, Chroma, and Amazon Bedrock.

LangChain for LLM Application Development

Use the powerful and extensible LangChain framework to build LLM applications with prompts, parsing, memory, chains, question answering, and agents.

LangChain Chat with Your Data

Create a chatbot with LangChain to interface with your private data and documents, learning to build a retrieval augmented generation pipeline from document loading to chat.

Finetuning Large Language Models

Discover when to use finetuning versus prompting, select suitable open‐source models, prepare your data, and train and evaluate LLMs for your specific domain.

Large Language Models with Semantic Search

Enhance search capabilities by leveraging LLMs to perform dense retrieval and reranking, enabling semantic search over large document collections.

Building Systems with the ChatGPT API

Learn how to automate complex workflows using chain calls to the ChatGPT API, integrating Python code and building practical chatbots for customer service and more.

Functions Tools and Agents with LangChain

Explore the latest advancements in LLM APIs using LangChain Expression Language (LCEL) to compose and customize chains and conversational agents with function calling and tagging.

Building and Evaluating Advanced RAG

Master advanced retrieval augmented generation techniques—such as sentence-window and auto-merging retrieval—and learn to evaluate and iterate on your RAG pipeline.

Advanced Retrieval for AI with Chroma

Improve retrieval relevancy using advanced techniques like query expansion, cross-encoder reranking, and embedding adapters with Chroma.

Knowledge Graphs for RAG

Learn to build and leverage knowledge graphs using Neo4j’s Cypher to enhance retrieval augmented generation by providing structured, contextual data.

Preprocessing Unstructured Data for LLM Applications

Extract and normalize content from diverse unstructured data sources (e.g., PDFs, PowerPoints, HTML) and enrich it with metadata to boost your RAG system’s performance.

Building Agentic RAG with LlamaIndex

Develop autonomous agents using LlamaIndex to build agentic RAG systems that intelligently navigate, analyze, and answer questions from multi-document data.

Building Your Own Database Agent

Interact with tabular data and SQL databases using natural language, enabling efficient data analysis through an AI agent that automates query generation.

Serverless Agentic Workflows with Amazon Bedrock

Build and deploy serverless LLM applications using Amazon Bedrock, integrating agents with tools, code execution, and guardrails for scalable workflows.

Multi AI Agent Systems with crewAI

Automate complex business workflows by designing and orchestrating a team of AI agents using crewAI, surpassing single LLM performance for multi-step tasks.

Practical Multi AI Agents and Advanced Use Cases with crewAI

Build practical multi-agent systems for advanced real-world applications such as project planning, customer support, and content creation using crewAI.

Reasoning with o1

Learn how to use and prompt OpenAI's o1 model for complex reasoning tasks, integrating advanced prompting techniques into your LLM applications.

Long-Term Agentic Memory with LangGraph

In this course, I learn to build AI agents with long-term memory capabilities using LangGraph.
It covers semantic, episodic, and procedural memory, and guides through creating a personal email assistant that can route, write, and schedule tasks.
Additionally, It enhances the agent’s functionality by incorporating long-term memory features—storing facts, user preferences, and evolving system prompts in a searchable memory store for continuous interactions.

MCP: Build Rich‑Context AI Apps with Anthropic

In this short course taught, I learned how to build AI applications using the Model Context Protocol (MCP).
MCP standardizes how LLM‑based apps access tools, data, and prompts via a client‑server architecture, simplifying integration with external systems like GitHub, Google Docs, file systems, and web fetching services.
I built an MCP‑compatible chatbot, created a local MCP server using FastMCP to expose tools, resources, and prompt templates, and connected it to Anthropic’s reference servers (e.g. filesystem and fetch).
I also configured Claude Desktop to connect to my server, deployed the MCP server remotely using SSE transport, and tested it via the MCP Inspector.
By the end of the course, I gained hands‑on experience with core MCP components—tools, resources, prompts—and transport mechanisms (STDIO, HTTP+SSE, and remote deployment), enabling me to build rich‑context applications with ease.

Work Experience

A journey of innovation, leadership, and expertise in AI, Data Science, and NLP-driven solutions.

Data Scientist (Project Lead Developer)

Infinite Analytics Pvt. Ltd., Mumbai

September 26, 2021 – Present

Leading the design, development, and deployment of an AI-powered Cognitive Search Engine, I have transformed data interaction through advanced Natural Language Processing (NLP), Large Language Models (LLMs), and Agent-Based Workflows. My work has significantly enhanced business intelligence, decision-making, and automation, making a lasting impact on operational efficiency.

Key Responsibilities & Contributions:

🔹 Technical Vision & System Architecture
  • Designed and implemented a robust AI-driven cognitive search engine integrating LLMs, NLP, and agent-based workflows.
  • Developed core modules including natural language query processing, document ingestion, entity extraction, and automated SQL generation.
  • Utilized LangChain and LangGraph to build seamless AI-driven data retrieval pipelines.
  • Architected a scalable, cloud-based AI platform ensuring security, efficiency, and maintainability.
🔹 AI Development & Integration
  • Integrated LLMs (OpenAI, Ollama) with vector stores like Chroma and agent frameworks.
  • Built pipelines for processing unstructured data using document loaders, text splitters, and memory management techniques.
  • Developed NLP-driven intelligent search capabilities, enabling seamless query handling and accurate response generation.
  • Automated workflows such as:
    • Natural Language to SQL Translation – Enabling non-technical users to query databases effortlessly.
    • AI-powered Report Generation – Reducing manual workload by automating insights extraction.
    • API Interfacing with FastAPI – Creating scalable and efficient API endpoints for seamless integration.
🔹 Team Leadership & Project Management
  • Led a multi-disciplinary team of developers, data scientists, and engineers in building AI-powered solutions.
  • Mentored junior developers and provided hands-on training in AI model deployment, NLP, and big data technologies.
  • Ensured project milestones were met on time and within budget, using Agile methodologies for efficient task management.
🔹 Quality Assurance & Deployment
  • Implemented robust coding standards, rigorous testing frameworks, and CI/CD pipelines.
  • Optimized AI models for performance, scalability, and real-time processing.
  • Ensured data security and compliance in AI-driven applications.

Impact & Achievements:

🚀 Business Transformation & Growth
  • Empowered the organization with faster and more accurate data retrieval, enhancing business decision-making across all departments.
  • Reduced manual data processing time by 70% through automated AI-powered workflows.
  • Enabled data-driven insights that facilitated revenue growth and optimized marketing & sales strategies.
📈 Customer Experience & AI-Powered Assistance
  • Developed an AI-powered chatbot for real-time customer support, reducing response time and increasing user satisfaction.
  • Enhanced customer personalization by leveraging AI to predict user needs and offer tailored recommendations.
💡 Competitive Advantage & AI-Driven Innovation
  • Integrated cutting-edge Generative AI & NLP models, providing the company with a technological edge in the market.
  • Implemented intelligent automation, improving productivity and reducing operational costs.
  • Strengthened data-driven decision-making, enabling the company to make more strategic moves with real-time insights.
🏆 Recognitions & Success
  • Played a pivotal role in achieving company-wide AI adoption, making data more accessible and actionable.
  • Successfully deployed AI solutions that enhanced user engagement, increased retention rates, and boosted operational efficiency.

By integrating this advanced AI solution, I have helped Infinity Analytics Pvt. Ltd. gain a competitive advantage through intelligent automation, AI-driven decision-making, and improved customer engagement. The impact of my contributions continues to drive innovation and efficiency, positioning the company at the forefront of AI-powered business intelligence.

Academic Board Member

Learnbay, a distinguished college within Woolf University

September 9, 2023 – Present

As an Academic Board Member at Learnbay, a distinguished college within Woolf University, I have undertaken a multifaceted role dedicated to upholding and enhancing the institution's academic excellence.

My key responsibilities and contributions include:

  • Strategic Academic Planning: Collaborated with fellow board members to develop and refine the academic mission and strategic goals of Learnbay, ensuring alignment with Woolf University's overarching objectives.
  • Curriculum Oversight: Evaluated and approved comprehensive degree programs and industry-specific certifications, emphasizing a 'learn by doing' philosophy that integrates theoretical knowledge with practical application.
  • Quality Assurance: Established rigorous academic policies and standards to maintain educational quality and integrity, contributing to the formulation and implementation of policies related to teaching, learning, assessment, and research.
  • Faculty Development: Participated in the recruitment, evaluation, and promotion processes of faculty members, fostering an environment conducive to academic excellence and innovation.
  • Regulatory Compliance: Ensured that Learnbay's programs and practices adhere to relevant educational regulations and accreditation standards, providing guidance on compliance matters.
  • Student Success Initiatives: Advocated for and implemented policies aimed at enhancing student support services, progression, and overall success, including the integration of real-world projects certified by industry and globally recognized universities.
  • Institutional Advancement: Advised on strategic partnerships and collaborations to expand Learnbay's global presence, contributing to the institution's mission of delivering world-class education.

Through these efforts, I have played a pivotal role in shaping Learnbay's academic landscape, ensuring the delivery of high-quality education that meets the evolving needs of students and the global industry.

I.T. Advisory Committee Member

FATER Academy of India

January 1, 2018 – September 24, 2021

Served as a key member of the IT Advisory Committee, contributing significantly to the academy’s IT strategies and operations. In this role, I helped shape the institution’s technology initiatives through hands-on web development, robust data management, clear documentation practices, and strategic IT contributions.

Key Responsibilities & Contributions:

🔹 Web Development
  • Developed and maintained the academy's website to ensure a user-friendly and up-to-date online presence.
🔹 Data Management
  • Handled the organization, storage, and security of data, ensuring efficient and secure data management systems.
🔹 Documentation
  • Led documentation processes for IT projects, ensuring all records were clear, well-organized, and easily accessible for future reference.
🔹 IT-Related Strategic Initiatives
  • Contributed to various IT functions and provided strategic input for ongoing technological improvements.

Recognized for excellent technical skills, proactive problem-solving, and the ability to work effectively both independently and as part of a team, my contributions greatly enhanced the academy’s IT operations.

Services

Leverage advanced AI, NLP, and data science techniques to accelerate your business objectives. My services are designed to optimize operations, drive innovation, and deliver actionable insights for sustainable growth.

Prompt Engineering

Crafting precise and impactful prompts for large language models to enhance content generation, automate workflows, and drive efficient communication that improves customer interactions.

Artificial Intelligence

Developing tailored AI solutions that automate processes, enhance customer experiences, and generate innovative strategies—empowering your business to stay ahead in a competitive market.

Natural Language Processing

Utilizing advanced NLP techniques to analyze and interpret textual data, enabling you to extract actionable insights from customer feedback, market trends, and operational reports.

Mathematical Modelling

Applying robust mathematical models and statistical methods to forecast trends, optimize resources, and underpin strategic decision-making with quantitative accuracy.

Decision Science

Transforming complex data sets into clear, strategic insights. Enable smarter decisions that reduce risks and open up new revenue streams through actionable, data-driven strategies.

Qualitative Research

Conducting deep-dive qualitative analyses to understand consumer behavior and market dynamics, providing nuanced insights that inform and elevate your strategic planning.

Complex Decision Making

Utilizing sophisticated models to address multifaceted challenges. I provide clear, data-backed recommendations to navigate uncertainties and achieve consistent business growth.

Soft Computing

Leveraging fuzzy logic and neural networks to create adaptive systems that process imprecise data, enhancing predictive accuracy and enabling agile, innovative decision-making.

Agent-Based System Automation

Deploying advanced LLMs to build intelligent, autonomous agents that automate workflows, integrate seamlessly with your existing systems, and streamline business processes for optimal efficiency.

How I can help you to increase your Revenue?

With a deep expertise in Artificial Intelligence, Data Science, and advanced algorithm development, I can drive transformative change in your business. My experience in designing AI-powered solutions—ranging from cognitive search engines to automated data pipelines—enables me to streamline operations, enhance decision-making, and uncover new revenue opportunities.

Enhancing Business Operations
  • Intelligent Data Retrieval: Implement AI-powered cognitive search engines that make data more accessible and actionable, speeding up decision-making processes.
  • Process Automation: Automate routine tasks such as data extraction, report generation, and SQL query formulation to reduce manual effort and operational costs.
  • Data-Driven Insights: Utilize advanced analytics and NLP to derive meaningful insights from complex datasets, helping you to optimize processes and improve efficiency.
Driving Revenue Growth
  • Customer Insights & Personalization: Leverage generative AI and NLP techniques to analyze customer behavior, enabling targeted marketing strategies and personalized customer experiences.
  • Innovation & Competitive Edge: Integrate cutting-edge AI components such as large language models and agent frameworks to foster innovation, differentiate your offerings, and capture emerging revenue streams.
  • Scalable and Secure Solutions: Design robust system architectures that ensure scalability and secure deployment, positioning your business for sustainable long-term growth.

By combining these strategies with my proven leadership in managing multidisciplinary teams and complex projects, I can help your business not only streamline operations but also drive significant revenue growth and maintain a competitive advantage in today’s dynamic market.

Let’s work together to unlock your business’s full potential.

Ready to transform your business with cutting-edge AI and data science solutions?

Let’s collaborate to unlock new growth opportunities and achieve your strategic objectives.

Get In Touch

Testimonials

Hear from our partners and clients about the transformative impact of our AI solutions.


Rajkrishna's AI-powered solutions transformed our business operations. His leadership in developing a cognitive search engine enabled us to access actionable insights quickly, leading to significant revenue growth.

Rajesh Kumar

CEO & Founder


The innovative approach to automating data extraction and report generation saved us countless hours and drastically reduced our operational costs.

Anita Deshmukh

Lead Data Scientist


Rajkrishna's expertise in generative AI and NLP is unparalleled. His solutions not only streamlined our data processes but also provided deep insights that unlocked new revenue streams.

Vikram Singh

Chief Technology Officer


Working with Rajkrishna was a turning point. His ability to extract actionable insights from complex datasets revolutionized our strategic planning and boosted our growth.

Priya Sharma

Operations Manager


His strategic vision in integrating advanced AI components revolutionized our marketing efforts, ensuring timely insights and a competitive edge in the marketplace.

Suresh Reddy

Marketing Head

Contact

Get in touch for collaborations, consultations, or inquiries.

Address

Vill-Patharghata, Post- Dakshin Dauki, Police Station- Contai(Junput Coastal), Dist- Purba Medinipur, West Bengal-721450, India.