Generative AI Engineer specializing in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and scalable AI system development. I design and build production-ready LLM applications integrating LangChain, OpenAI APIs, vector databases, and secure backend systems. Recently, I architected a RAG-based document intelligence system processing 10,000+ text chunks across 100+ documents, improving response relevance by 30% and reducing latency by 25% through optimized semantic retrieval and conversational memory integration. My experience includes: • LLM pipeline orchestration (LangChain) • Embedding-based semantic search (Pinecone, ChromaDB) • GPT API integration • Prompt engineering and contextual optimization • Secure REST APIs with JWT • Full-stack development (React, Node.js, PostgreSQL) Focused on building scalable, maintainable AI systems ready for real-world deployment. Open to opportunities in Generative AI, LLM Engineering, AI Backend Development, and AI-focused Full-Stack roles.
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