I build end-to-end AI and machine learning systems, from data preparation and model evaluation to retrieval, inference, API serving, and containerized deployment.
At Thales Group, I built Java and Spring Boot microservices and REST APIs for an enterprise order-management platform spanning order creation, routing, fulfillment, and delivery. I also developed Python and SQL analytics and predictive-modeling pipelines for delivery planning, and received the Xtra Miler Award and Quarterly Employee Recognition.
My projects include OpenLLM, an OpenAI-compatible local inference gateway across MLX, llama.cpp, and vLLM, and BugBounty Vault, a privacy-focused RAG platform combining BM25, dense retrieval, rank fusion, and reranking.
I've also built agent execution tooling, an on-device desktop assistant, and quantitative time-series research workflows. I work across Python, Rust, Java, ML frameworks, MLOps tooling, Docker, Kubernetes, and production APIs.
