I am a Senior AI Engineer specializing in moving Generative AI out of the sandbox and into reliable, highly scalable production environments. With extensive enterprise experience, I architect and deploy advanced data infrastructure and machine learning systems for forward-thinking businesses.

My core expertise lies in designing Asynchronous Agentic RAG frameworks, multi-agent LLM pipelines, and end-to-end generative ecosystems. I build highly resilient, serverless backend microservices using Python and FastAPI, fully containerized with Docker and managed via modern tooling like uv. My technical stack heavily features GCP (Vertex AI, Cloud Functions, Pub/Sub), high-performance vector databases (Qdrant, Weaviate), and rigorous automated testing to ensure zero-defect deployments.

I support my clients through the entire AI lifecycle—from initial strategic architecture audits to deploying real-time data ingestion pipelines and managing ongoing MLOps. By focusing on robust architecture and advanced semantic retrieval, I deliver automated, error-free AI solutions that solve complex reasoning challenges, allowing you to focus strictly on scaling your business.