Stanislas Bertrand is a founding engineer and machine learning-savvy software leader based in Marseille with a decade of experience building AI-driven products from 0 to 1 and scaling them into production. He has led engineering teams and shipped ML systems across industries—from social media analytics at Linkfluence processing millions of items to deploying computer-vision anomaly detection on automotive assembly lines at Faurecia. More recently he helped bootstrap Ditto/Beavr and now develops the AI platform for medtech spin-off Qalico, blending product-focused engineering with research-grade signal processing expertise from CentraleSupélec. Comfortable across the full stack, Stanislas designs distributed pipelines and productionizes models, often optimizing throughput for high-rate CV and NLP workloads. Colleagues know him for translating theoretical ML (super-resolution, denoising) into robust factory- and enterprise-grade systems and for balancing hands-on coding with team leadership.
10 years of coding experience
8 years of employment as a software developer
Engineering Master's degree, machine learning & signal processing, Engineering Master's degree, machine learning & signal processing at CentraleSupélec
RetinaFace (RetinaFace: Single-stage Dense Face Localisation in the Wild, published in 2019) reimplemented in Tensorflow 2.0, with pretrained weights available !
Contributions:1 review, 31 commits, 7 PRs in 2 years 4 months
Contributions:13 commits, 13 pushes, 1 branch in 16 days
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