Jon Bolin
Member Of Technical Staff at Stealth Startup
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJon Bolin is a software engineer with a decade of experience building high-performance computing and cloud infrastructure, recently focused on accelerator support and machine learning runtimes. He worked on Cloud TPU/GPU integration and PyTorch/XLA and JAX at Google, earlier contributing to AWS platform engineering, and now applies that low-level systems and ML stack expertise as a Member of Technical Staff at a stealth San Francisco startup. With an MS in Applied Mathematics and a background teaching calculus and Wolfram Language, he brings strong mathematical intuition to performance tuning and compiler-level problems. Colleagues value his blend of production-grade software discipline and academic rigor, and he often operates at the intersection of hardware-aware engineering and developer-facing ML tooling.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS Applied Mathematics, Master of Science - MS Applied Mathematics at The University of Tulsa
Github Skills (34)
pytorch10
python10
gcloud10
acceleration10
machine-learning10
large-language-models10
tpu10
numpy10
llm10
deep-learning10
tensorflow10
gpu10
autograd10
neural-network10
xla10
Programming languages (4)
Github contributions (5)
jonb377/ml-testing-accelerators
Jun 2022 - Feb 2023
Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)
Contributions:28 pushes, 13 branches in 7 months
pytorchtesting-frameworkdeep-learninggpuhardware-accelerators
jonb377/hf-transformers
Dec 2022 - Apr 2024
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Contributions:96 pushes, 9 branches in 1 year 3 months
pytorchnlptransformersartdeep-learning
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