Principal Applied Scientist at Huawei Technologies Research & Development (UK) Ltd
London, England, United Kingdom
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Summary
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Umar Muhammad is a Principal Applied Scientist with nine years of experience building efficient on-device and cloud AI/ML systems, currently leading R&D for compact Super Resolution models tailored to gaming at Huawei Kirin UK. He combines deep academic training—a PhD in computer vision and cross-domain semantic understanding—with hands-on expertise in model compression (quantization, KD), NPU deployment, TinyML and ONNX pipelines. His work spans efficient rendering (neural radiance caching, meta-learning), 3D pose, video inpainting, tracking and highlights detection, showing a rare blend of graphics-aware and perception-focused ML. Umar’s focus on tiny, deployable models means he routinely translates research advances into production-feasible solutions for constrained hardware. Based in London, he brings cross-border academic and industry experience from Italy and the UK, with a practical knack for squeezing high-fidelity visual results out of minimal compute.
9 years of coding experience
3 years of employment as a software developer
Master’s Degree Communication Technologies and Multimedia, Master’s Degree Communication Technologies and Multimedia at Università degli Studi di Brescia
Erasmus+ Traineeship Program Communications and signal processing, Erasmus+ Traineeship Program Communications and signal processing at Imperial College London
High School Maturità Scientifica, High School Maturità Scientifica at Liceo Scientifico Tecnologico B. Castelli, Brescia, Italy
Doctor of Philosophy (Ph.D.) Computer Vision Machine Learning, Doctor of Philosophy (Ph.D.) Computer Vision Machine Learning at Queen Mary University of London
Doctor of Philosophy (Ph.D.) Computer Vision Machine Learning, Doctor of Philosophy (Ph.D.) Computer Vision Machine Learning at University of Surrey
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Umar Muhammad - Principal Applied Scientist at Huawei Technologies Research & Development (UK) Ltd