Summary
Pashmina Cameron is a Principal Applied Scientist with 7 years of experience leading ML and applied science efforts at Microsoft, currently focused on large language modeling for Copilot+ PCs. With a PhD in Computer Vision from Cambridge and a decade of industry R&D prior to her Microsoft tenure, she has bridged foundational research and production engineering across domains including human motion capture, generative drug discovery, and holographic storage. She has a track record of shipping optimized computer vision and deep learning systems—from ARM/AVX2 and Caffe performance work to monocular SLAM and avatar motion models—that turn research prototypes into product features. Comfortable coordinating cross-disciplinary teams, she also organizes AI residency programs and partners with pharmaceutical and hardware groups to deliver multi-property optimization and predictive models. Notably, her career blends low-level optimization expertise with high-level generative modeling, enabling both real-time edge applications and large-scale LLM deployments.
7 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Vision, Doctor of Philosophy (Ph.D.) Computer Vision at University of Cambridge
Bachelor of Engineering Electronics & Telecommunications, Bachelor of Engineering Electronics & Telecommunications at Govt College of Engineering, University of Pune