Terence L is a Head of ML and Principal Engineer with 13 years of experience building high-throughput, cost-efficient machine learning systems from research prototypes to production. Based in Madison, WI, he led the creation of a facial recognition algorithm ranked US #1 and World #2 by NIST and engineered a deca-B vector database achieving 100+x state-of-the-art throughput, yielding dramatic near-term server cost reductions and multi-million-dollar long-term savings. Equally comfortable as an individual contributor and people leader, he has balanced hands-on systems work—C++ library fusion with Python bindings, distributed training orchestration, model distillation/quantization/pruning, and encrypted serving—with cross-functional product and GTM efforts. Earlier roles at Bloomberg and in academic research (PhD in Physics) underpin his expertise in large-scale infrastructure, parallel computing, and reproducible open-source tooling for scientific workflows. He combines deep algorithmic rigor with pragmatic engineering that drives measurable cost and performance wins.
13 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Engineering, Bachelor’s Degree Engineering at Nanjing University
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at The University of Toledo
Contributions:98 commits, 30 pushes, 5 comments in 1 year 9 months
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Terence L - Head Of ML Principal Engineer at Clearview AI