Summary
Charles Vin is an ML Engineer based in Paris with nine years of hands-on experience turning research ideas into production-grade systems, most recently building an image search engine indexing over 1 billion embeddings for 250K+ hours of archival video. He blends full‑stack engineering (Vue.js, FastAPI, Elasticsearch) with large-scale on‑premise ML orchestration (Airflow, vLLM) and a research background in self‑supervised learning for satellite image time series. Comfortable across frontend, backend and MLOps, he has a track record of reproducing and improving state‑of‑the‑art models and inventing bespoke pretext tasks and hierarchical losses to boost retrieval performance. He values AI that benefits society and the planet and pairs technical depth with clear communication—evident from freelance product work and collaborations in academic labs.
9 years of coding experience
Bachelor's degree, Mathematics and Computer Science applied to Cognitive Science, Highest Honours, Bachelor's degree, Mathematics and Computer Science applied to Cognitive Science, Highest Honours at University of Lille
Data Science/Engineering Master program (DAC), Data Science/Engineering Master program (DAC) at Sorbonne University
English, French