Shreyas Hampali is an AI research scientist based in Zurich with 10 years of experience advancing image processing, computer vision, and machine learning from research to production. He holds a PhD in Computer Vision and Machine Learning and has combined deep academic rigor at TU Graz with industry impact at Meta, Qualcomm, and Intel. His work spans algorithm development, hardware-aware implementations, camera/display system architecture, and real-time video codec and GPU-accelerated solutions. Known for shipping practical fixed-point and CModel implementations for embedded pipelines, he bridges theoretical models and constraints of silicon and real-time systems. At Meta he continues to push state-of-the-art research toward deployable systems, drawing on a rare mix of DSP, GPU programming, and hardware design experience. Outside core research, he maintains a public profile showcasing projects and reproducible demos that reflect a pragmatic, systems-first approach to computer vision.
9 years of coding experience
10 years of employment as a software developer
Master of Engineering (MEng), Digital Signal Processing, Master of Engineering (MEng), Digital Signal Processing at Indian Institute of Science
Doctor of Philosophy - PhD, Computer Vision and Machine Learning, Doctor of Philosophy - PhD, Computer Vision and Machine Learning at Technische Universität Graz
Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering, Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering at National Institute of Technology Karnataka
A dataset for estimation of hand pose and shape from single color images.
Contributions:39 commits, 41 pushes in 2 years 4 months
deep-learningdatasetcomputer-visionestimationhand
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