Ange Daumal is a Paris-based software engineer with 12 years of experience bridging machine learning, data engineering and applied algorithms into production-grade systems. He has led technical strategy and built backend infrastructure as CTO for a luxury ecommerce platform—implementing web scraping, semantic search, image-similarity, ML-driven post-processing and on-prem clustered databases—before joining Algolia. Ange also teaches algorithms and deep learning at top French schools, translating academic rigor (OCaml, Python, graph algorithms, CNNs, RNNs) into practical engineering and curricula. His background includes building conversational AI with knowledge graphs and Prolog, plus hands-on ML pipelines and API/SaaS deployments, reflecting a taste for mixing theoretical methods with pragmatic automation. Colleagues would note his rare combination of pedagogy, product-focused ML, and infrastructure know-how across both startup and teaching environments.
12 years of coding experience
7 years of employment as a software developer
High School Diploma, Sciences, High School Diploma, Sciences at Lycée Jules Renard
Contributions:31 commits, 14 pushes, 1 branch in 2 months
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