Do Huynh is an ML engineer and data scientist combining 11 years of hands-on engineering with a decade of social entrepreneurship, having founded and led inclusive waste-management cooperatives that supported hundreds of people. He builds production-ready ML systems for public-sector services—moderation, classification, semantic search and transcription—using Python, scikit-learn, LangChain, FastAPI and cloud AI, and currently contributes to national digital services via beta.gouv and a mission interministérielle. Trained as an engineer with a Master in action-research, he blends technical rigor with user-centered, social-impact thinking to design algorithms that surface fair, explainable outcomes and preserve privacy. He teaches algorithmics and ML, runs PoCs for generative-AI transcription and dashboards for apprenticeship policy, and is practiced at turning messy real-world data into operational decision tools. Notably, his background in community-oriented ventures and a CAP in cuisine reflect a pragmatic, multidisciplinary approach to problem solving and team leadership.
Master 2 professionnel DEPRA Développement des pratiques professionnelles et sociales par la recherche-action, Master 2 professionnel DEPRA Développement des pratiques professionnelles et sociales par la recherche-action at Université Sorbonne Nouvelle
Ingénieur Informatique, Ingénieur Informatique at Université de Technologie de Compiègne (UTC)
Contributions:33 pushes, 1 branch in 3 years 2 months
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