Summary
James Kent is a Camera Engineer based in San Francisco with 10 years of experience applying machine learning, computational physics and computer vision to high-performance imaging systems. Currently at Apple, he researches and implements production CV/ML algorithms and architects solutions for extremely high-throughput stacks; his background includes a PhD from Cambridge where he built real-time mathematical and Bayesian frameworks for radio imaging. Comfortable moving between research and production, he has a strong hardware-to-software pedigree from embedded design and LabVIEW to large-scale ML deployment. He brings a blend of rigorous academic modeling and practical engineering that surfaces in low-latency, high-accuracy camera pipelines. An interesting thread through his career is repeated emphasis on real-time systems—from festival solar chargers and embedded PCBs to streaming radio imaging and mobile camera pipelines—demonstrating a consistent focus on turning theory into responsive, deployable products.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of Cambridge
A Level, A Level at King Edwards VI Aston School
Master of Engineering (MEng), Electrical and Electronic Engineering, First Class Honours, Master of Engineering (MEng), Electrical and Electronic Engineering, First Class Honours at Aston University