The short version.

I build AI systems that spend more time in production than in demos. My work lives at the intersection of computer vision8 yrs, deep learning7 yrs, and the less glamorous engineering that keeps either one actually useful — FastAPI5 yrs services, Docker5 yrs pipelines, plant-floor PLCs, HPC job schedulers. The boring parts. The parts that don't show up in a Medium article.

Currently I coordinate the Data Science & LLM curriculum at the University of Pittsburgh, where I mentor master's students on RAG architectures3 yrs, fine-tuning3 yrs, and the art of debugging a model that should be working. Before Pitt, years in the field: automating fifteen manufacturing facilities, building predictive-maintenance pipelines for HVAC equipment, and training satellite-imagery detectors that cut a pilot client's manual survey cost by ninety percent.

I hold an M.S. in Information Science (AI specialization) from the University of Pittsburgh. My French Talent Passport Famille visa means I'm work-authorized from day one in Paris. I'm pragmatic, measured, and mildly allergic to ML pitches that won't survive contact with real data.