Umais Zahid is a Staff Scientist in London with eight years of experience building and shipping research-driven AI systems, currently focused on end-to-end neural video compression. He blends a physics background and an MSc in Computational Statistics and Machine Learning with hands-on engineering, having led development of a real-time neural codec that surpassed AV1 before his team was acquired. His academic work includes first-author papers at ICML and Neural Computation on brain-inspired generative models, reflecting a rare fusion of neuroscience intuition and practical ML. Earlier roles ranged from deploying production regression models as pure SQL to creating team-wide Python tooling and interactive monitoring dashboards. Umais writes about his work and thinking at umais.me, signaling an active interest in communicating research beyond academia. He’s equally comfortable prototyping novel algorithms and turning them into production-quality systems that push compression and modelling frontiers.
8 years of coding experience
5 years of employment as a software developer
High School, High School at Seven Kings High School
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at University of Cambridge
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Umais Zahid - Staff Scientist at InterDigital, Inc.