About
AI Engineer with 3+ years at Samsung R&D designing, developing, and deploying AI-powered applications using Large Language Models (LLMs), LangChain, LangGraph, and Prompt Engineering. Hands-on with Agentic AI, agentic chains, AI Agents, and multi-agent orchestration.
Experience1
Software Development Engineer (AI/ML)
Jan 2024 — PresentSamsung Research and Development
Designed, developed, and deployed a production NLP classification system on unstructured app text by fine-tuning BERT and transformer models, improving accuracy by 10–15%. Built scalable Python and Spark data pipelines processing structured and unstructured data for model consumption. Collaborated with product managers and data teams to translate enterprise use cases into actionable requirements.
- Improved accuracy by 10–15%
- Shipped Mobile Data Tile feature to millions of Galaxy devices
Projects2
Multi-Agent AI System
Designed and built agentic chains and multi-agent systems with the OpenAI Agents SDK and LangGraph multi-agent orchestration and tool calling; integrated tools and enterprise data sources through MCP and exposed agents via Python REST APIs.
- Python
- OpenAI Agents SDK
- LangChain
- LangGraph
- Google ADK
- MCP
- Anthropic API
- Gemini API
Enterprise Multi-Source RAG Knowledge Assistant
Implemented a RAG solution ingesting unstructured documents and websites, with embeddings, vector database retrieval, semantic search, reranking, and source-cited answers served via scalable backend services and FastAPI microservices.
- Python
- FastAPI
- LangChain
- OpenAI
- ChromaDB
- FAISS
Education1
Bachelor of Technology (B.Tech)
2019 — 2023J.C. Bose University of Science and Technology, YMCA
Electronics & Communication Engineering