Ilan Guenet is a Platform Engineer with eight years of experience specializing in embedded systems, GPU-accelerated computational imaging, and computer vision. He has delivered high-impact performance optimizations—most notably a 20x speedup on a holographic imaging pipeline using C++/CUDA—and built memory-efficient image algorithms for microscopy at ZEISS. Comfortable across the stack, Ilan has applied state-of-the-art object detection and semantic segmentation in industry deployments, as well as cloud model deployment on Azure. He co-leads a nonprofit for digital holography that supports open-source medical imaging and student training in parallel computation, reflecting his commitment to research and education. Based in Paris and completing an engineering degree at EPITA (with a year at City University of Hong Kong), he combines academic rigor with hands-on system engineering for real-time, high-throughput imaging applications.
8 years of coding experience
1 year of employment as a software developer
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at EPITA: Ecole d'Ingénieurs en Informatique
Year 2 Computer Science, Year 2 Computer Science at City University of Hong Kong
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