Headline

AI Engineer | Python | LLM | Generative AI | Agentic AI | Prompt Engineering | RAG | LangChain | LangGraph | Multi-agent Systems | AWS | 2 Years Experience

About

AI Engineer with 2 years of experience building Generative AI, Agentic AI, and LLM-powered applications at Tata Consultancy Services. Experienced in developing multi-agent workflows for enterprise underwriting and document intelligence, using Python, LangChain, LangGraph, AWS, and Amazon Bedrock AgentCore. Hands-on experience in document classification, semantic information extraction, prompt engineering, structured outputs, financial analysis, and AI workflow orchestration. Designed hybrid deterministic + LLM architectures and multi-step agent workflows to process financial documents and support business decision workflows. Also built RAG and multi-agent AI applications involving hybrid retrieval, embeddings, vector search, reranking, structured agent handoffs, and controlled tool usage. Seeking AI Engineer / Generative AI Engineer opportunities focused on LLM applications, Agentic AI, RAG, and intelligent automation.

Location

Bengaluru

AI stack

claude

codex

gemini

hugging face

langchain

langgraph

Work experience

AI Engineer at Tata Consultancy Services, Jan 2025 - Present · 1 yr 9 mos, Bengaluru, Working as an AI Engineer at Tata Consultancy Services, developing Generative AI and Agentic AI solutions for enterprise underwriting workflows. Designed and developed a 3-agent workflow using Classify -> Extract -> Analyze to process borrower financial documents, combining document classification, LLM-powered semantic information extraction, financial calculations, and analysis. Built and integrated specialized AI agents for document classification, structured information extraction, and mortgage income analysis, supporting combined document packages, individual uploads, and document mismatches. Designed a hybrid deterministic + LLM approach, using LLMs for semantic understanding and deterministic business rules, financial calculations, and threshold checks for consistency and traceability. Implemented agent logic and workflow orchestration using Python, LangChain, and LangGraph, with structured agent handoffs for evaluating profitability, liquidity, debt obligations, DSCR, and LTV. Developed the Python agent runtime and backend workflow, deploying and testing agent workloads using AWS and Amazon Bedrock AgentCore. Validated end-to-end AI workflows and iterated the prototype based on stakeholder feedback.

Education

Bachelor of Technology, Computer Science specialized in (AI & ML), Vellore Institute of Technology