I'm an AI Engineer specialize in designing production-grade Agentic AI architectures that transform complex business workflows into reliable, autonomous AI systems.
My expertise lies in architecting autonomous AI systems from planning and multi-agent orchestration to tool calling, memory management, Retrieval-Augmented Generation (RAG), evaluation frameworks, and production deployment. I enjoy solving complex engineering problems by designing AI systems that are modular, maintainable, and built for real-world business use rather than prototypes.
I've built AI products including autonomous sales agents, document intelligence platforms, AI-powered knowledge assistants, and personalized recommendation systems using LangGraph, LangChain, Python, FastAPI, Docker, PostgreSQL, Redis, ChromaDB, and modern LLM APIs.
I also have experience delivering production AI solutions for clients, contributing to open-source projects, and publishing machine learning research. I enjoy translating business requirements into robust AI architectures that balance reliability, scalability, performance, and cost.
Core Expertise
• Production AI Agent Architecture • Agentic AI & Multi-Agent Systems • Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) • AI Workflow Automation • LangGraph & LangChain • FastAPI & Python Backend Development • MCP & Tool Calling • Evaluation Frameworks & Guardrails • Docker • PostgreSQL • Redis • ChromaDB
I'm always interested in collaborating with startups and engineering teams building the next generation of AI products.
