Justin Chong is a Technical Lead with 8 years of experience specializing in medical imaging AI, full-stack systems, and taking products from 0-100 in startup environments. Currently at Aival, he blends academic ML research (including a MICCAI/DALI publication and a Master’s thesis on active learning) with practical engineering to evaluate and present AI tools to clinicians. He has a proven record of performance-focused optimizations—from a phish-classifier speedup to scaling education platforms—and a knack for bridging domain knowledge in healthcare with deployable software. Based in Kuala Lumpur and trained at Imperial College London (First Class MEng), he focuses on mitigating the societal risks of rapidly advancing AI while building human-centered, verifiable products.
8 years of coding experience
2 years of employment as a software developer
A Levels, Computing, Economics, Government and Politics, Futher Mathematics, 5 A* (Computing, Maths, Further Maths, Economics, and EPQ) - 1 A (Politics), A Levels, Computing, Economics, Government and Politics, Futher Mathematics, 5 A* (Computing, Maths, Further Maths, Economics, and EPQ) - 1 A (Politics) at Epsom College in Malaysia
Master of Engineering - MEng, Computing and Artificial Intelligence, First Class Honours (4.0 GPA), Master of Engineering - MEng, Computing and Artificial Intelligence, First Class Honours (4.0 GPA) at Imperial College London
Interactive 3D / 2D webgl-accelerated scatter plot point renderer
Contributions:23 pushes, 24 branches in 6 months
webglplotacceleratedthreejspoint
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