Summary
Gil Shapira is a senior algorithm engineer with 11+ years of experience specializing in computer vision, deep learning, and GPU-accelerated image processing for mobile and embedded products. He currently develops applied CV/DL solutions for Samsung mobile devices while pursuing a Ph.D. in computer vision and machine learning at Bar-Ilan University, blending product-driven research with academic rigor. His background spans real-time AR/VR, object detection and tracking, and face recognition/alignment, with hands-on expertise in OpenGL ES, CUDA, HLSL and production-grade performance optimization. Earlier roles include building GPU-based computational geometry libraries, video encoder acceleration, and full image-processing stacks for automated optical inspection, demonstrating a strong systems-to-algorithm breadth. Known for turning research prototypes into deployable mobile algorithms, he often bridges low-level GPU tricks and high-level ML models to meet device constraints. Based in Israel, he combines a dual technical education in computer science and physics with practical leadership in cross-disciplinary engineering teams.
11 years of coding experience
13 years of employment as a software developer
B.A., Computer Science, B.A., Computer Science at Technion - Israel Institute of Technology
Doctor of Philosophy - PhD, Computer vision and machine learning, Doctor of Philosophy - PhD, Computer vision and machine learning at Bar-Ilan University
MSc., Computer Science, 91, MSc., Computer Science, 91 at The Open University of Israel