Summary
Haaris Mehmood is a Senior AI Research Engineer based in London with nine years’ experience building privacy-preserving and personalized ML systems across speech, vision, NLP and recommender domains. At Samsung he has driven federated and secure learning, model personalization with limited forgetting, and compression/edge-friendly recommenders—bridging research-grade methods with deployable engineering. Comfortable across Python, C++, F# and JavaScript, he blends object-oriented, imperative and functional paradigms to deliver production-ready models and tooling. His background includes hands-on systems work at Arm and education/outreach roles at Imperial College, reflecting both low-level performance insight and a commitment to mentoring. He is motivated by applying AI to socio-economic and environmental challenges, and quietly pursues continuous learning outside work, per his GitHub motto “Always on the lookout for more.”
9 years of coding experience
3 years of employment as a software developer
A-Level, A-Level at Wood Green Academy
Master of Engineering - MEng, Master of Engineering - MEng at Imperial College London