Philippe Kirsch is a software engineer with 11 years of experience, currently focused on machine learning and backend engineering in Paris, now at Goodvest after recent roles accelerating data-driven products. Rooted in rigorous maths and physics from engineering school and refined at 42, he blends practical software craftsmanship with applied ML and computer vision expertise developed at Preligens, IDEMIA and Earthcube. He has led end-to-end automation projects—most recently building an ETL-driven pipeline to clean and integrate complex scraped data using LLMs—and taught data science at Le Wagon. Comfortable across the stack, Philippe moves fluidly between research-quality models and production-grade engineering, bringing a knack for turning noisy, real-world data into reliable, deployable systems.
11 years of coding experience
5 years of employment as a software developer
Deep Learning Specialization, Artificial Intelligence, Deep Learning Specialization, Artificial Intelligence at Coursera
ENGINEERING, ENGINEERING at Grenoble INP - Génie industriel
Software Engineering, Software Engineering at 42
Baccalauréat Scientifique Section Européenne Allemand, Mention Très Bien, Baccalauréat Scientifique Section Européenne Allemand, Mention Très Bien at Lycée Thérèse d'Avila
Classes préparatoires aux grandes écoles PSCI-PSI (Mathematics/Physics/Mechanics/Chemistry), Classes préparatoires aux grandes écoles PSCI-PSI (Mathematics/Physics/Mechanics/Chemistry) at Lycée Jean-Baptiste Say
Contributions:21 pushes, 1 branch in 2 years 5 months
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