Tommy Ho
Software Engineer at Snap Inc.
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolTommy Ho is a software engineer with 10 years of experience specializing in data logging, collection services, and AI-driven computer vision systems, currently building data acquisition infrastructure at Snap in the San Francisco Bay Area. He brings a research-informed engineering approach from graduate work at University of Washington and National Tsing Hua University, where he contributed to published papers on video segmentation and visual relationship prediction. Prior roles at NVIDIA and Alfred Systems focused on accelerating model training and deploying efficient on-device inference pipelines, including a 50% preprocessing speedup and an 80% efficiency improvement on embedded prototypes. He has hands-on experience bridging hardware and software—Raspberry Pi, Movidius, TensorRT—with production Flask backends and clinical evaluation workflows. Notably, his work spans both applied research and product-grade systems, combining rigorous experimentation with scalable engineering for high-throughput logging and ML-powered devices.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, M.S. in Technology Innovation, Master of Science - MS, Computer Science, M.S. in Technology Innovation at University of WashingtonBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at National Tsing Hua University
Github Skills (6)
value-iteration9
markov-decision-processes6
reinforcement-learning4
deep-learning3
pytorch3
tensorflow3
Programming languages (1)
Github contributions (5)
Thanatine/TensorFlow-Seq2Seq
Nov 2017 - Feb 2018
Contributions:20 commits, 18 pushes, 1 branch in 2 months
Thanatine/Thanatine.github.io
Jan 2019 - Jul 2020
Contributions:4 pushes in 1 year 6 months
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