About me

I am a seasoned Head of AI Strategy and Product Development with 20 years of experience championing ethics, open-source principles, and positive work cultures in engineering. Specializing in Generative AI (GenAI), Deep Learning, and MLOps, my career is built on defining enterprise-wide strategies that accelerate time-to-market (TTM) through AI-aided development (Vibe Coding) and reusable components.

I maintain a dual focus on high-level strategic planning and hands-on architecture. I love to code alongside my team—prioritizing reusability and best practices—because it allows me to inspire progress and actively contribute to our success. My leadership style empowers high-performance teams to deliver exceptional, product-oriented solutions, favoring efficient, user-focused MVPs over lengthy presentations to build trust with clients and stakeholders.

A core pillar of my approach is Responsible AI. I establish comprehensive governance frameworks for my teams, defining clear operational boundaries, explicit agent skills, and strict security guardrails to ensure AI coding assistants and GenAI products are deployed safely. I am deeply energized by integrating Large Language Models (LLMs), adaptable RAG applications, and supervised agent networks into custom workflows to solve complex, real-world challenges, emphasizing rigorous monitoring and evaluation.

As a lead data scientist and AI strategist, I have spearheaded end-to-end projects for top-tier clients across the energy, finance, manufacturing, automotive, and robotics sectors. My journey began in data-intensive roles—first as a research and process engineer in photovoltaic manufacturing, then as a quality manager in energy efficiency. Today, I remain as driven as ever to grow, connect with like-minded professionals, and push the boundaries of AI innovation