Michaël Benguigui is a C/C++ developer with 10 years of experience specializing in high-performance computing, GPU-accelerated quantitative finance, and distributed data processing. He has built Monte Carlo VaR engines, CUDA/OpenCL-accelerated pricing libraries and real-time ML-driven market data systems, and has a track record of parallelizing workflows to cut computation time across cloud and HPC clusters. His work spans research and product delivery—from INRIA and Natixis quant projects to production-grade workflow engines and Spark/HDFS deployments at ActiveEon—plus recent roles focusing on C++ algorithm development for Naval Group. He pairs a PhD in multi-CPU/GPU financial libraries with hands-on experience deploying AI inference on embedded GPUs and optimizing cross-platform performance. Notably, he blends quantitative rigor (statistical validation, option pricing) with practical automation and containerized infra, making him adept at turning complex numerical methods into scalable, deployable systems.
10 years of coding experience
Computer Science, C++ Certified Professional Programmer, Computer Science, C++ Certified Professional Programmer at Cisco Networking Academy
Doctor of Philosophy (Ph.D.), Multi-CPU-GPU financial library, Doctor of Philosophy (Ph.D.), Multi-CPU-GPU financial library at Université Nice Sophia Antipolis
Master, Computer Science and Mathematics applied, Master, Computer Science and Mathematics applied at Polytech'Nice-Sophia
Master 1, Market Finance, Master 1, Market Finance at SKEMA Business School
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