Shaojie Bai
Member Of Technical Staff at Thinking Machines Lab
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolShaojie Bai is a PhD candidate and software engineer with ten years of experience who blends rigorous machine learning research with applied systems development. His GitHub bio highlights Carnegie Mellon SCS credentials (MCS'17 and an SCS'22 ML affiliation), reflecting advanced research training alongside systems expertise. Based in Pittsburgh, he focuses on translating research ideas into robust, production-ready solutions and thrives at the intersection of theory and engineering. The dual CMU affiliations point to uncommon breadth across both theoretical ML and practical systems, making him effective on cross-disciplinary problems.
11 years of coding experience
5 years of employment as a software developer
High School Diploma, General Academics, 4.25/4.30, High School Diploma, General Academics, 4.25/4.30 at Shenzhen Foreign Languages SchoolCarnegie Mellon University
Github Skills (55)
python10
temporal10
in-progress10
machine-learning10
sequence-modeling10
trellis10
deep-learning10
gpu10
sequence10
modeling10
pytorch9
language-processing9
numpy9
datasets9
acceleration9
Programming languages (5)
Github contributions (5)
locuslab/TCN
Mar 2018 - Mar 2022
Sequence modeling benchmarks and temporal convolutional networks
Contributions:15 commits, 3 PRs, 8 pushes in 4 years 1 month
sequencedeep-learningconvolutionalconvolutional-networkstemporal
locuslab/deq
Sep 2019 - Oct 2021
[NeurIPS'19] Deep Equilibrium Models
Contributions:70 commits, 2 PRs, 67 pushes in 2 years 2 months
pytorchequilibriumdeep-learningneuripsdeep-equilibrium-models
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