Jevin Jiang
Software Engineer III, Core ML XLA TPU Compiler at Google
United States
Summary
🤩
Rockstar🎓
Top SchoolJevin Jiang is a Software Engineer III with nine years of experience building high-performance ML and cloud systems, currently working on XLA and TPU compiler optimizations at Google. He has a strong track record accelerating ML workloads—at Oracle he ported and optimized a multivariate anomaly detection algorithm to CUDA with a 1600x speedup and added multi-GPU support and memory estimation tooling. Prior roles span Play Store personalization, founding a startup that shipped multiple React/React-Native apps, and embedded/IoT proof-of-concepts at Tencent, showing comfort across full-stack, systems, and low-level code. Jevin holds a BS in Computer Science with high honors from Michigan State and an MS from Yale, blending rigorous academics with production impact. He leans toward performance-critical engineering and has repeatedly translated algorithms into scalable, production-ready implementations that remove practical limits (e.g., multi-GPU training and GPU memory estimation).
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Yale UniversityBachelor of Science - BS, Computer Science, 3.96/4.0 High Honor, Bachelor of Science - BS, Computer Science, 3.96/4.0 High Honor at Michigan State University
Github Skills (7)
xla10
jax10
python10
tpu10
mlr10
cprogramming-language9
c-language9
Programming languages (2)
Github contributions (5)
by-the-w3i/resume
Sep 2016 - May 2018
Contributions:8 pushes, 1 branch in 1 year 7 months
bythew3i/MSUROLL
Nov 2021 - Nov 2021
Contributions:6 releases, 2 commits, 52 pushes in 1 day
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