I am an AI Engineer and Data Scientist bridging the gap between experimental models and real-world deployment. With a strong emphasis on modern Python development, software engineering best practices, and clean code fundamentals, I specialize in architecting, optimizing, and shipping machine learning, GenAI, and LLM-based solutions into production.

• Currently: Building and optimizing production-grade GenAI applications and deploying scalable LLM infrastructure.
• Focus: Staying loyal to software engineering fundamentals—writing clean, maintainable code, optimizing system performance, and moving AI out of the notebook and into robust production environments.
• Tech Radar: Continuously monitoring the fast-moving Python and AI ecosystems to integrate the most efficient, modern tooling (like uv, vLLM, LangChain, and modern CI/CD practices).

🤖 AI & Data Science

Infrastructure & MLOps

Backend & Software