Colin Peppler
Software Engineer at Meta
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolColin Peppler is a software engineer in the San Francisco Bay Area with nine years of experience building high-performance ML and recommendation systems at Meta. He has worked across PyTorch compiler infrastructure, GPU inference optimization, and data-labeling platforms that improve classifier training and evaluation accuracy. His open-source contributions include performance and compiler fixes to the widely used pytorch/pytorch repository—work that touched Inductor, Triton kernels, and dynamic-shape handling. Comfortable shipping end-to-end production systems, Colin blends deep systems-level GPU expertise with practical product-focused iteration, and he often moves between improving model tooling and optimizing inference paths. An under-the-hood detail: he has hands-on experience adding low-level C-shims and aliasing fixes that materially improve runtime performance in real-world ML workloads.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Virginia Tech College of Engineering
English
Github Skills (11)
compiler-optimization10
pytorch10
machine-learning10
tensor10
python10
induction10
cprogramming-language9
c-language9
triton8
autograd8
gpu8
Programming languages (6)
Github contributions (5)
pytorch/pytorch
Sep 2023 - Apr 2025
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:183 reviews, 116 PRs, 428 pushes in 1 year 7 months
Contributions summary:Colin primarily contributed to the PyTorch/pytorch repository by working on the Inductor compiler, which is involved in the optimization and compilation of PyTorch models. Their work involved fixing bugs related to tensor aliasing, dynamic shape handling, and Triton kernel integration. The user also added support for features like a C-shim for index_put and other optimization improvements. The commits demonstrate a focus on performance optimization and compiler infrastructure within the context of machine learning.
pythongpu-accelerationdeep-learninggpunumpy
ColinPeppler/pytorch
Sep 2023 - Mar 2025
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:56 pushes, 19 branches in 1 year 6 months
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