Headline

AI Engineer | Generative AI (LLMs, RAG, Agents) | AWS Bedrock | LangChain | LangGraph | NLP | Python | Building Production AI Systems for Fortune 500

About

AI Engineer specializing in Generative AI and Agentic AI systems, with hands-on experience building and deploying production-grade AI applications for Fortune 500 enterprises. My work focuses on designing scalable, real-world AI systems using multi-agent architectures, Retrieval-Augmented Generation (RAG), and cloud-native deployments. 🔹 What I Do: • Build LLM-powered systems (RAG, multi-agent workflows, automation pipelines) • Develop production-ready GenAI applications using AWS Bedrock, LangChain, and LangGraph • Design end-to-end AI architectures integrating APIs, vector databases, and cloud services 🔹 Key Impact: • Built a multi-agent GenAI system for AIG generating 1,500+ SQL test scripts across 300+ tables with ~70% accuracy • Reduced manual QA effort by ~60%, saving 30+ engineering hours weekly • Developed a Text-to-SQL chatbot with ~85% accuracy serving 50+ users across multiple teams • Delivered scalable AI systems deployed across enterprise environments 🔹 Tech Stack: Generative AI | LLMs | RAG | LangChain | LangGraph | AWS Bedrock | Claude | OpenAI Python | FastAPI | Vector DBs (FAISS, Chroma, PgVector) AWS (Lambda, S3, API Gateway, CloudWatch) | Azure Databricks | Snowflake 🔹 Certifications: AWS ML Specialty | AWS AI Practitioner | Azure Data Engineer 🔹 Open to: AI Engineer / Generative AI / Applied AI roles (India & Remote) If you're building serious AI systems or hiring for GenAI roles, let’s connect.

Location

Bengaluru

AI stack

claude code

claude

langchain

langgraph

langsmith

githubcopilot

Work experience

AI Engineer-II at IQVIA, Aug 2026 - Present · 2 mos, Bengaluru, Karnataka, India

Associate Data Scientist at Cognizant, Jan 2024 - Present · 2 yrs 9 mos, Pune District, Maharashtra, India, Project 1: Multi-Agent GenAI System(Data Test Script Generator) • Architected and deployed a multi-agent LLM system using AWS Bedrock, Claude, LangChain, and LangGraph to automate SQL test script and test case generation from STTM documents • Designed agent pipeline: STTM Parser → Feature Analyzer → Context Extraction → Context Builder → SQL Generator → LLM-as-a-Judge Validator → Document Generator • Generated 1,500+ SQL scripts across 300+ tables with ~70% accuracy, reducing manual QA effort by ~60% and saving 30+ engineering hours weekly • Deployed as FastAPI microservice with AWS (S3, SNS, CloudWatch) and IDE-integrated agent workflows • Ensured production reliability with 85%+ test coverage and SonarQube quality enforcement -------------------------------------------------------------------------------------------------------------------- Project 2: Text-to-SQL GenAI Chatbot(Data Profiling and Analytics chatbot) • Built a production-grade Text-to-SQL chatbot using LangChain, Bedrock/OpenAI, Snowflake, and FAISS • Implemented schema-aware RAG by embedding Snowflake metadata for context-grounded query generation • Enabled multi-turn conversations using memory without repeated schema retrieval • Achieved ~85% accuracy across validation scenarios and supported 50+ users across 8+ teams

Programmer Analyst at Cognizant, Nov 2022 - Dec 2023 · 1 yr 2 mos, Pune District, Maharashtra, India, • Developed NLP pipeline for sentiment analysis and topic modeling (LDA) on social media data • Identified key complaint clusters using coherence score tuning, enabling data-driven decisions for operations teams

Programmer Analyst Trainee at Cognizant, Nov 2021 - Nov 2022 · 1 yr 1 mo, Pune Division, Maharashtra, India, • Modernized legacy ETL pipelines using Azure Databricks, reducing runtime by 37% • Built scalable data pipelines (Bronze-Silver-Gold) for enterprise analytics

Education

Bachelor of Engineering, Mechanical Engineering, Savitribai Phule Pune University