AI Engineer Turning Enterprise Data Chaos into Strategic Intelligence | RAG Expert | Ex-Startup Cofounder
I'm an AI engineer who bridges the gap between cutting-edge LLM research and real-world business applications. With deep expertise in retrieval-augmented generation (RAG), knowledge graphs, and autonomous agents, I help companies unlock the full potential of their data through intelligent AI systems.
Technical Stack:
LLM Frameworks: LangChain, LangGraph, LlamaIndex, Custom Agents
Vector/Graph DBs: Pinecone, Weaviate, Neo4j, MongoDB
APIs & Backend: FastAPI, Django, Node.js, Streaming architectures
Cloud & DevOps: AWS, Azure, GCP, Docker, CI/CD pipelines
Specializations: RAG optimization, prompt engineering, embedding strategies
What sets me apart:
I don't just implement, I innovate. My systems feature advanced capabilities like continuous learning loops, multi-modal processing, and intelligent metadata extraction. I've pioneered techniques that improved retrieval precision by 30% and reduced processing times by 75%.
From Fortune 500 SAP integrations to healthcare platforms processing thousands of medical documents, I deliver production-ready solutions that scale. My code is clean, documented, and built for long-term maintenance.
Currently serving as Head of AI at a startup while helping clients worldwide transform their AI ambitions into deployed realities.