Leilai Shao
Data Scientist, Hardware Sustaining
San Jose, California, United States
Summary
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Senior🎓
Top SchoolLeilai Shao is a data scientist and Ph.D. candidate with eight years of experience applying statistical modeling and machine learning to time-series and wearable sensor data, currently working in hardware sustaining at Facebook. He combines deep academic training in Hidden Markov Models and Bayesian networks with hands-on industry R&D at Facebook, HP Labs and Tencent, shipping end-to-end pipelines and failure-prediction models for data center health. Proficient in C/C++, Python, TensorFlow/PyTorch and SQL, he bridges hardware/software co-design and sensor acquisition systems to turn noisy physiological signals into actionable insights. Leilai’s internships across top labs taught him to ramp on unfamiliar tools quickly—he learned internal Facebook tooling in a week and delivered production software within two months—making him effective in fast-paced research-to-product settings. Based in San Jose, he focuses on anomaly detection and ML for healthcare wearables, often choosing models (CNNs, RNNs, VAE, GAN) based on statistical fit rather than fashion.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Engineering, 3.96/4.0, Master's degree, Computer Engineering, 3.96/4.0 at UC Santa BarbaraBachelor of Engineering (B.E.), Electrical & Information Engineering, 3.91/4.0, Bachelor of Engineering (B.E.), Electrical & Information Engineering, 3.91/4.0 at Zhejiang University
English, ChineseProgramming languages (3)
Github contributions (5)
llshao/CNT-TFT-Verilog-A
Aug 2018 - Jun 2019
Contributions:11 commits, 9 pushes, 1 branch in 10 months
llshao/data_scientist
Oct 2019 - Jan 2020
Contributions:11 pushes, 1 branch in 2 months
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