Summary
Lili Feng is a Senior Machine Learning Engineer based in Texas with 11 years of experience and a PhD in Physics, combining deep academic rigor with production ML at scale. She has specialized in CTV adtech and media measurement, building transformer-based audio embedding pipelines, hybrid vector+SVM retrieval systems, and a hierarchical training pipeline for multi-level bidding agents. Her background in geophysics and HPC/CUDA for 3D Earth modeling informs pragmatic optimization skills—she has repeatedly cut GPU and cloud costs by tens of percent and millions of dollars. Lili excels at bridging research and engineering: designing scalable microservice architectures, leading MLOps integrations, and mentoring teams to raise accuracy and reliability. Notably, she translates signal-processing expertise from audio and seismic domains into robust, low-latency production ML solutions for high-throughput streaming environments.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Geophysics, Bachelor of Science (BS), Geophysics at Peking University
Doctor of Philosophy (PhD), Physics, 3.95/4.00, Doctor of Philosophy (PhD), Physics, 3.95/4.00 at University of Colorado Boulder