Damien Menigaux is a self-taught AI engineer and co-founder leading research at Veesion, with a decade of experience building production-grade computer vision systems since 2018. He specializes in video understanding—human action recognition, scene graph generation, 3D reconstruction, pose extraction, optical flow, re-identification and multi-object tracking—using 3D convolutions, video transformers and emerging video LLMs. Damien pairs large-scale PyTorch model training with deployment-focused network optimization (quantization, distillation, pruning) via TensorRT, OpenVINO and TVM to move research into edge-ready products. His background blends elite French engineering and business training (École Polytechnique, HEC Paris) with hands-on data science roles at PrestaShop and eLum, giving him both product sensibility and rigorous modeling skills. Based in Paris, he brings an entrepreneurial mindset and rare end-to-end expertise from research prototypes to optimized inference in production.
10 years of coding experience
Diplome de l'ingénieur polytechnicien Data science for Business, Diplome de l'ingénieur polytechnicien Data science for Business at École Polytechnique
Master of Science (M.Sc.) Majeure Digital, Master of Science (M.Sc.) Majeure Digital at HEC Paris
Contributions:6 PRs, 160 pushes, 5 branches in 1 month
pytorchyolo3object-detectiontrackingmot
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