Summary
Hoang Le is an AI engineer with a PhD in Computer Science from York University and a decade of experience building production-ready ML systems and camera ISP algorithms. His research on gamut recovery led to a CVPR publication and a US patent with Adobe, and he has practical experience shipping color-mapping and auto white-balance models for smartphone ISPs. In industry roles he has moved from building deep-learning data pipelines and ERP systems to designing scalable agent platforms—most recently architecting Birdwatch’s multi-generation AI agent runtime that cut core engine code by ~78% and slashed feature delivery from weeks to hours. He combines low-level imaging expertise (RAW-to-display color recovery) with system-level design for multimodal retrieval, dynamic skill runtimes, and human-in-the-loop pipelines. Comfortable across research, prototyping, and production, he also has hands-on experience building controlled capture rigs and large-scale data ingestion workflows that enable grounded multimodal reasoning.
10 years of coding experience
7 years of employment as a software developer
Master’s Degree Computer Science and Engineering, Master’s Degree Computer Science and Engineering at Pohang University of Science and Technology
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at York University
Bachelor’s Degree Electrical Electronics and Communications Engineering, Bachelor’s Degree Electrical Electronics and Communications Engineering at Danang University of Science and Technology
Phan Chau Trinh high school
English, Vietnamese