Summary
Valerian Gonnot is a back-end software engineer with 10 years of experience, currently building scalable systems at Criteo after several R&D roles focused on applied AI at Neovision. Trained as an engineer at Grenoble INP—Ensimag with complementary studies in theoretical physics and management, he blends strong mathematical rigor with practical software delivery. His hands-on AI work spans PyTorch/PyTorch Lightning, TensorFlow/Keras, data synthesis with GANs, embedded deployment and full-stack prototyping including React. Comfortable moving projects from research to production, he brings expertise in evaluation, testing and CI workflows alongside front-end and embedded integration. Based in Grenoble, he maintains an active interest in AI research and tooling originating from his Ensimag roots, bridging academic ideas and production-grade implementations.
9 years of coding experience
Master 2 (M2), Management, Master 2 (M2), Management at Grenoble IAE
Physique théorique et mathématique, Physique théorique et mathématique at CPP- La prépa des INP
Diplôme d'ingénieur, Informatique, Diplôme d'ingénieur, Informatique at Grenoble INP - Ensimag
English, Spanish, French