Rajib Kumar De

Rajib Kumar De is a highly experienced Data Scientist and AI/ML Engineer with a Master’s Degree in Statistics and 10+ years of industry experience across Data Science, Machine Learning, Artificial Intelligence, Generative AI, NLP, Predictive Analytics, and Cloud Computing.

His expertise spans the complete AI/ML lifecycle—from statistical analysis, data exploration and feature engineering to model development, deployment, monitoring, and production optimization. He has extensive hands-on experience with the Microsoft Azure AI ecosystem, including Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Azure AI Search, Microsoft Fabric, Fabric Data Science, Databricks, MLflow, and MLOps.

In recent years, Rajib has focused extensively on Generative AI and Agentic AI, designing enterprise solutions using LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), vector and hybrid search, AI agents, multi-agent architectures, tool calling, and intelligent automation. He has built enterprise intelligence and knowledge solutions integrating structured and unstructured data through Azure AI Search and Fabric Data Agent, along with production-grade AI/ML APIs and applications using Python and REST APIs.

Professional Qualifications & Certifications

Rajib holds several Microsoft and professional certifications, including:

Microsoft Certified: Azure AI Engineer Associate (AI-102)

Microsoft Certified: Azure Data Scientist Associate (DP-100)

Microsoft Certified: Azure AI Fundamentals (AI-900)

Microsoft Professional Program for Data Science

Professional Certificate – Data Science Core

Professional Certificate – Data Science Fundamentals

His strong statistical foundation, combined with extensive practical experience in machine learning and modern AI technologies, enables him to approach complex problems from both supervised and unsupervised learning perspectives.

Technical Expertise

Programming: Python, R, SQL, PySpark

Generative AI: Azure OpenAI, LLMs, Prompt Engineering, RAG, Agentic AI, Multi-Agent Systems

Microsoft AI: Azure AI Foundry, Azure Machine Learning, Azure AI Search, Copilot Studio, Fabric Data Agent

Data & Cloud: Microsoft Fabric, OneLake, Azure Databricks, Azure Data services

ML/MLOps: Scikit-learn, XGBoost, LightGBM, AutoML, MLflow, MLOps

AI/ML: Predictive Modeling, NLP, Deep Learning, Forecasting, Anomaly Detection, Fraud Detection

Application Development: FastAPI, Flask, REST APIs, Python-based AI/ML applications

Analytics & Visualization: Power BI, Advanced Excel

Professional Experience & Impact

Rajib has designed and delivered end-to-end AI/ML and Generative AI solutions, including predictive analytics, fraud detection, automated machine learning platforms, enterprise RAG systems, AI assistants, and agentic workflows. His experience includes replacing rule-based approaches with data-driven predictive models, developing reusable ML platforms, and deploying scalable AI solutions on Azure.

He has also worked closely with business, engineering, and technology teams to translate complex requirements into secure, scalable, responsible, and production-ready AI solutions, while mentoring junior data scientists and contributing to technical enablement.

As an author and Microsoft technology professional, Rajib is particularly passionate about making complex AI and data science concepts practical and accessible. He combines strong statistical thinking, hands-on engineering experience, and a research-oriented mindset to solve real-world business problems.

Rajib believes in delivering high-quality work through clear communication, practical problem-solving, and a strong focus on measurable business value. He values long-term professional relationships and continuous learning in the rapidly evolving fields of AI, Generative AI, and Cloud Computing.

Outside his professional work, Rajib enjoys stock market analysis and exploring new places.