Summary
Louie Hoang is a machine learning engineer with 12 years of experience bridging research and product at the intersection of computer vision, language, and privacy-preserving analytics. He has been a principal technical lead building deep learning systems for volumetric reconstruction, novel view synthesis, and semantic segmentation for holographic meetings, and now contributes ML expertise at Meta. Louie co-founded Inferati to enable secure, privacy-first AI analytics and has a track record of translating cutting-edge research from Microsoft Research and Microsoft AI & Research into deployed features across Bing, Azure, Xbox, and Windows. Comfortable in both startup and large‑scale environments, he combines hands-on prototyping with technical strategy and has repeatedly shipped systems that move novel algorithms into production. His academic background spans Cambridge and Harvard, underpinning a pragmatically experimental approach to hard ML problems.
12 years of coding experience
15 years of employment as a software developer
MPhil -> PhD Computer Science, MPhil -> PhD Computer Science at University of Cambridge
Master of Science - MS Computational Science, Master of Science - MS Computational Science at Harvard University
Bachelor of Science - BS Mathematics Computer Science Quantitative Economics, Bachelor of Science - BS Mathematics Computer Science Quantitative Economics at Drake University