Sheng Wu
Machine Learning Engineer at Apple
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolSheng Wu is a Machine Learning Engineer based in San Francisco with 13 years of experience building and productionizing large-scale ML systems across top tech companies. He has led AutoML, GenAI model development, and LLM inference work at Apple, ByteDance, LinkedIn, and Google, combining deep research roots from a PhD in computer science with hands-on systems engineering. Sheng’s background in stochastic simulation and parallel scientific computing (StochKit2, reaction-diffusion solvers) gives him a rare edge in probabilistic modeling and efficient simulation for ML pipelines. He excels at bridging algorithmic innovation and platform engineering to accelerate model development and deployment at scale. Known for improving model productivity and inference efficiency, Sheng brings both academic rigor and product-oriented pragmatism to complex AI challenges.
13 years of coding experience
17 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at UC Santa BarbaraMaster Electrical Engineering, Master Electrical Engineering at Tsinghua University
English, Chinese
Github Skills (46)
before-after10
sliders10
counter9
elixir8
data-api8
serialization8
scheme8
image8
protocol-buffers7
guitar7
pypi7
protobuf7
lisp6
music-composition6
logdna6
Programming languages (6)
Github contributions (5)
shengwu/dotfiles
May 2015 - Jul 2022
Contributions:13 pushes in 7 years 3 months
shengwu/elevator
Feb 2015 - Jan 2023
Contributions:17 pushes, 2 branches, 6 comments in 7 years 11 months
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