Summary
Johan Leduc is a Senior Machine Learning Engineer based in Paris with 10 years of experience building production-ready ML systems and privacy-preserving data pipelines for early-stage startups and research labs. He has moved models from R&D to production—developing generative models with differential privacy, building remote data execution pipelines, and shipping developer-facing SDKs to simplify private data analysis. His background spans neuroscience-grade EEG decoding at ENS to code-security ML at GitGuardian, giving him a rare mix of applied research and cloud-scale engineering. Comfortable across TensorFlow, Python ecosystems and distributed tooling, he favors clear communication and pragmatic design to deliver measurable value. Notably, he was the first employee at a startup where he led both model innovation and the in-house orchestration of privacy-aware remote jobs, showing breadth from algorithm design to systems engineering.
10 years of coding experience
6 years of employment as a software developer
Energies, Energies at École Polytechnique
Sustainable Energy Engineering, Sustainable Energy Engineering at KTH Royal Institute of Technology
Classes préparatoires Mathematiques Physique, Classes préparatoires Mathematiques Physique at Lycée Chateaubriand
French, English, German, Swedish, Spanish