Generative AI · Agentic systems · Multi-cloud

Hi, I’m SagnikKundu.

I develop and engineer production-grade Gen AI systems that turn enterprise context into action.

Generative AI developer with 4+ years of experience turning LLM ideas into governed, production-ready platforms across enterprise data and cloud ecosystems.

Explore my work Download résumé

4Years in technology

3Cloud ecosystems

9.32B.Tech CGPA

RAG Gen AI Agentic AI AWS Bedrock LangChain LangGraph MCP Databricks

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01 / ABOUT

Engineering useful intelligence.

My work sits where language models, enterprise data, and dependable software meet.

I’m a Gen AI Engineer at Capgemini, focused on Generative AI platforms that combine retrieval, tools, governed data access, and scalable inference. I’ve worked across Azure OpenAI, AWS Bedrock, Gemini Pro, and NVIDIA NIMs to move AI applications from prototypes into real workflows.

Before Capgemini, I spent nearly three years at Cognizant, growing from a Big Data Intern into a Programmer Analyst and building Gen AI, database, metadata, and data-lineage solutions.

Grounded

Retrieval and context designed around trusted enterprise sources.

Governed

Secure access patterns that respect data controls and platform boundaries.

Scalable

Inference, orchestration, and cloud choices balanced for latency and cost.

02 / SELECTED WORK

Systems built for the real world.

Resume-backed highlights from recent enterprise AI and data work.

Agentic AI01

Tool-using agent systems

Designed agentic LLM workflows with LangChain Agents and custom MCP servers for autonomous tool execution and multi-step orchestration.

Governed data02

Unity Catalog MCP integration

Implemented secure, governed LLM access to Databricks Unity Catalog tables for real-time retrieval and context augmentation.

AI platforms03

Multi-cloud RAG platforms

Built and productionized grounded LLM applications across Azure OpenAI, AWS Bedrock, Gemini Pro, and NVIDIA NIMs.

CAREER JOURNEY

Experience

4+ years progressing from big data foundations to enterprise Generative AI delivery.

Jun 2025Present

@ Capgemini

Gen AI Engineer

Gurugram · Delhi NCR · Hybrid

Building the intelligence layer for enterprise products.

Building production Gen AI platforms with RAG, agentic workflows, and multi-cloud model stacks.
Creating custom MCP integrations for secure access to governed enterprise data.
Optimizing AI infrastructure for inference latency, GPU utilization, and cost efficiency.

Generative AIAgentic AIMCPRAGMulti-cloud

Oct 2022May 2025

COG

@ Cognizant

Programmer Analyst

Noida · Delhi NCR · Hybrid

Scaling from data engineering into enterprise Gen AI.

Developed enterprise chatbots, RAG pipelines, and LLM standardization techniques.
Built Python metadata and data-lineage workflows across major enterprise databases.
Supported client delivery and team coordination during an onshore engagement.

PythonLangChainSQLData lineage

Mar 2022Aug 2022

COG

@ Cognizant

Big Data Intern

Bengaluru · Karnataka · Hybrid

Where the data journey started.

Built practical foundations in big data engineering and PySpark.

Big DataPySpark

04 / CAPABILITIES

Core expertise

A practical toolkit for building, connecting, and operating intelligent applications.

Generative & Agentic AI

LLMsRAGAgentic AILangChainLangGraphFastMCPVector Databases

Cloud & Platforms

Azure OpenAIAWS BedrockGoogle CloudGemini ProNVIDIA NIMsDatabricks

Engineering & Data

PythonSQLPySparkPandasPostgreSQLOracleGitLinux

05 / FOUNDATION

Education & credentials

Education

2018 — 2022

B.Tech (Honours), Computer Science & Engineering

University of Engineering and Management, Kolkata

9.32out of 10 CGPA

Certifications

Professional Cloud Developer

Google Cloud · March 2024

Full Stack Data Science

Jigsaw Academy · June 2022

Open to meaningful conversations

Let’s build something intelligent and useful.

Have an AI platform, agent workflow, or enterprise data challenge in mind? I’d be glad to connect.

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