I am a Machine Learning and AI Engineer specialized in building intelligent, production-ready systems that turn data into automation and actionable insights. My expertise includes data preprocessing, model development, and deployment for predictive analytics, natural language processing, and computer vision, as well as advanced AI solutions using Retrieval-Augmented Generation (RAG) to deliver smart, context-aware responses with real-time access to relevant data. I also build multi-agent systems using LangGraph, enabling collaborative agents that can reflect, reason, and make decisions together for use cases like chatbots, tool-using assistants, and end-to-end autonomous workflows.

I work across a broad stack including Python, SQL, FastAPI, LangChain, LangGraph, PostgreSQL (including pgvector), Redis, Celery, Docker, JavaScript, and Next.js, and I can deploy AI applications on Vercel, AWS, GCP, GitHub Pages, or custom infrastructure. I support clients end-to-end, from data preparation and workflow design to model deployment and reliable API delivery, including structured outputs, resilient error handling, and persistent conversational context with checkpointed execution and memory summarization. I also deliver governance and reliability features like CI-ready automated test coverage across 50+ API endpoints, audit logging, incident monitoring, GDPR export flows, and RBAC-based tenant isolation, helping businesses optimize operations, automate complex tasks, and scale confidently while maintaining strict client confidentiality.