Aniruddha Bhattacharjee

About Aniruddha Bhattacharjee

I am a seasoned, technology-driven professional currently working as a Senior Data Scientist, with a strong focus on Generative AI, Large Language Models (LLMs), Machine Learning, Deep Learning, Natural Language Processing. I specialize in transforming complex business challenges into innovative AI-driven solutions.My strengths include Exploratory Data Analysis (EDA), statistical modeling, and building scalable ML systems using algorithms like Regression, Classification, Clustering, Random Forest, and Boosting. I\'m skilled in developing end-to-end AI applications that deliver actionable insights, and I bring deep expertise in Generative AI, leveraging LLMs to automate tasks, enhance decision-making, and drive innovation.A key area of my current focus is Agentic AI systems—an emerging frontier where I design, prototype, and deploy multi-agent AI ecosystems capable of reasoning, decision-making, and collaboration. I\'ve worked extensively with frameworks such as Autogen, CrewAI, Atomic-Agents, and LangGraph, creating AI agents that autonomously perform complex tasks, interact with tools and APIs, and communicate with other agents to drive business process automation. My projects include intelligent task delegation systems, multi-agent RAG pipelines, autonomous document analysis frameworks, and agent-based knowledge assistants.I have contributed as a technical reviewer for the book Applied Natural Language Processing with PyTorch 2.0.In addition to building models, I excel at architecting production-ready solutions with MLOps techniques including Docker, Jenkins, MLflow, CI/CD pipelines, and Flask-based APIs.In 2024, I secured an M.Tech admission offer in AI & DS (Executive) from IIT (ISM) Dhanbad, reflecting my strong academic foundation and commitment to continuous learning in the AI domain. While I ultimately chose not to pursue the program, it remains a significant academic milestone.Key Skills & Tools• Machine Learning & Deep Learning• NLP & LLMs: Word Embeddings, BERT, GPT-4o, LLaMA-2/3,Phi 3.5, RAG pipelines• Generative AI & Agentic AI: Autogen, CrewAI, Atomic-Agents, LangGraph, MCP, A2A, ACP• Search & Vector Databases: Elasticsearch, FAISS, Pinecone, Chroma• Visualization Tools: Power BI• Programming: Python, Unix Shell Scripting, SQL, Java• Statistical Modeling & EDA• MLOps: Flask, Gunicorn, Jenkins, Docker, Bitbucket, Git, MLflow, Langfuse• Libraries: Hugging Face Transformers, PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas, Matplotlib• Cloud Platforms: Azure ML, GCP,AWS,Langchain• Application Quality Tools: SonarQube

Experience

1. Generative Ai Architect

   Microsoft

   Nov 2025 — Present · Hyderabad, IN

   I am currently working as a Generative AI Architect within the Microsoft, contributing to enterprise-scale AI transformation initiatives in the finance domain.Over the past several months, I have been responsible for designing and delivering AI-driven platforms end-to-end — from architecture to production deployment — while also driving internal AI initiatives and coordinating with vendor teams on implementation and integration.My work includes:• Designing intelligent incentive platforms powered by LLMs• Building enterprise-grade RAG systems with structured evaluation frameworks• Developing NL2SQL solutions for secure natural language access to financial data• Architecting scalable AI solutions using Azure ecosystem (Azure AI Foundry, Azure OpenAI, Azure Functions, Container Apps)• Implementing CI/CD pipelines, containerization (Docker), and deployment workflows• Establishing guardrails, observability, monitoring, and governance for agentic AI systems• Managing small vendor teams to ensure delivery alignment with architectural standardsIn addition to delivery, I actively drive internal AI initiatives focused on:• Responsible AI implementation• Agentic system architecture standards• Monitoring and evaluation frameworks• Production-grade AI deployment patternsMy approach combines technical depth with systems thinking — ensuring AI solutions are:• Reliable• Secure• Observable• Scalable• Business-alignedI believe enterprise AI is not about experimentation alone — it is about disciplined architecture, governance, and measurable impact.

Education

• Sheakhala Benimadhab High School

  Higher Secondary, Physics, Chemistry, Math

  2007 — 2009

• Sheakhala Benimadhab High School

  Secondary

  2002 — 2007

• International Institute of Information Technology Bangalore

  Post Graduate Diploma in Data Science, Data Science and Machine learning

  2018 — 2019

• MCKV Institute of Engineering

  B.TECH, Electronics and Communications Engineering

  2009 — 2013

Skills

• Autosys
• Php
• Cascading Style Sheets (Css)
• Javascript
• Team Management
• Digital Marketing
• Unix Shell Scripting
• Unix
• C
• Programming
• Digital Media
• Mysql
• Html
• Application Support
• Servicenow
• Matlab
• Telecommunications Engineering
• C++
• Photoshop
• Microcontrollers
• Keil
• Java
• Pl/Sql
• Powerpoint
• Microsoft Excel
• Management
• Digital Electronics
• English
• Microsoft Sql Server
• Digital Signal Processors
• Data Structures
• Oracle
• Ps-Spice
• Microsoft Office
• Sql
• Linux
• Core Java
• Microsoft Word
• Electronics
• Windows