Maxime Portaz
Senior ML Solution Architect at Nebius
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolMaxime Portaz is a Senior ML Solution Architect with 11 years of experience bridging academic research and production AI, holding a PhD in Computer Vision and Information Retrieval. He has designed and deployed ML/DL and NLP solutions across industries, from image-search and retail vision systems to optimizing LLMs and model performance on Graphcore IPUs and cloud platforms. Fluent in Python, PyTorch and TensorFlow, he combines hands-on model porting and performance engineering with infrastructure skills in Triton, Kubernetes, OpenStack, AWS and GCP. His career spans research scientist and field-engineer roles where he moved prototypes into production—e.g., leading Qwant’s image similarity search product and enabling frictionless retail at Trax. Based in Paris, he brings deep expertise in embeddings, retrieval and hardware-aware optimization, often surfacing practical performance wins that aren’t obvious from model accuracy alone.
11 years of coding experience
8 years of employment as a software developer
Doctorat Informatique, Doctorat Informatique at Université Grenoble AlpesM2 (Rech.) sp. Informatique Graphics Vision and Robotics, M2 (Rech.) sp. Informatique Graphics Vision and Robotics at National School of Computer Science and Applied Mathematics of GrenobleMaster mention mathématiques et informatique. Informatique, Master mention mathématiques et informatique. Informatique at Université Joseph Fourier (Grenoble I)
Japanese
Github Skills (5)
retrieval6
image-retrieval6
computer-vision5
deep-learning4
tensorflow4
Programming languages (2)
Github contributions (5)
maxgreat/Instance-Search
Jan 2017 - Apr 2019
Contributions:47 commits, 2 PRs, 32 pushes in 2 years 3 months
deep-learningcomputer-visionimage-retrievalretrievaltensorflow
QwantResearch/text-image-similarity
Jan 2019 - Oct 2019
Contributions:3 PRs, 94 pushes, 3 branches in 8 months
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