Overview
Technical skills
Timeline
Roles

Overview

Generative AI Engineer with 1.5+ years of experience building and deploying enterprise LLM applications, focusing on RAG pipelines and agentic multi-agent systems. Proficient in Python and RAG/semantic retrieval concepts, with hands-on work using LangChain and LangGraph and deployment on IBM watsonx.ai and OpenShift AI.

Technical skills

Languages
3
Python
SQL
C++
AI/ML
10
LLM
LangChain
LangGraph
TensorFlow
Embeddings
Prompt Engineering
RAG
Multi-Agent Systems
Semantic Search
AI Agents
DevOps
8
Kubernetes
GitHub
Docker
Git
Linux
AWS
OpenShift
Rest API
Other
6
Django
Tesseract OCR
OCR
Computer Vision
Semantic Search
CNN

Timeline

Generative AI Engineer • Middle
Tata Consultancy Services (TCS) • Full-Time
Feb 2025 to Present 1 Year 7 Months In office
Built and deployed multiple enterprise generative AI applications using Python with LLM and RAG architectures to support semantic retrieval workflows for business teams. Designed multi-agent orchestration with LangChain and LangGraph and implemented automated LLM evaluation and GenAI test automation to reduce manual QA effort. Developed end-to-end RAG pipelines using embeddings and semantic retrieval, and supported production deployment and governance on IBM watsonx.ai and OpenShift AI.
Python
SQL
LangChain
LangGraph
Embeddings
Semantic Search
Multi-Agent Systems
Prompt Engineering
LLM
RAG
TensorFlow
OpenShift
Kubernetes
Docker
Linux
Git
GitHub
Django
Rest API
Tesseract OCR