Olivier Valery is a Deep Learning Researcher with a PhD and nine years of experience building and optimizing computer vision and embedded AI systems for real-world products. He led R&D at an early-stage startup to develop video-based gesture recognition and shoplifting detection, including GDPR-compliant people blurring, and productionized models on edge devices using TensorRT, OpenVINO and TVM. His background spans mobile and cloud optimization—achieving large speed and memory gains through pruning, quantization, low-precision arithmetic, transfer learning and parallel processing techniques. Now at AudioShake he applies custom audio preprocessing and parallel inference acceleration techniques, reflecting a consistent focus on squeezing high performance from constrained hardware. Fluent in both research and deployment, he pairs academic rigor with hands-on engineering to move state-of-the-art models into production.
9 years of coding experience
13 years of employment as a software developer
Master's degree Department of Computer Sciences and Mathematics, Master's degree Department of Computer Sciences and Mathematics at Université du Québec à Chicoutimi
Ph.D Computer and Information Engineering, Ph.D Computer and Information Engineering at National Taiwan University
Master's in Engineering Engineering with a specialization in Computer Sciences, Master's in Engineering Engineering with a specialization in Computer Sciences at EPF Engineering School
TransferCL: an open framework for transfer learning on mobile device
Contributions:81 commits, 1 PR, 75 pushes in 1 year
mobile-devicetransfer-learningios
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Olivier Valery - Deep Learning Researcher at AudioShake