Owen Pan
Software Engineer at Snowflake
Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolOwen Pan is a fourth-year Computer Science student at the University of Waterloo with nine years of software engineering experience spanning full-stack, back-end, and machine learning roles. He has interned at Amazon and Snowflake working on AI agents, data pipelines, and distributed systems, and contributed research on NL2SQL and 3D RL simulation for human motion. An active open-source contributor, Owen has improved core tooling in large projects like LLVM/Clang and the Haiku OS—fixing clang-format edge cases and enhancing Haiku’s Tracker and media player functionality. Comfortable across C/C++, distributed systems, and ML stacks, he combines rigorous code-style and tooling sensibilities with hands-on feature development. Notably, his contributions reveal an attention to subtle correctness and UX details—fixing formatting regressions and nuanced file-panel behaviors that improve developer and end-user experience.
9 years of coding experience
1 year of employment as a software developer
High School Diploma Computer Software Engineering, High School Diploma Computer Software Engineering at John Fraser Secondary SchoolBachelor's degree Computer Science with AI Specialization, Bachelor's degree Computer Science with AI Specialization at University of Waterloo
Github Skills (19)
debug10
c-language10
llvm10
code-standards10
coding-conventions10
os-development10
clang-format10
haiku10
coding-style10
cprogramming-language10
code-formatting10
scripting9
user-interface9
compiler-compiler9
operating-system9
Programming languages (6)
Github contributions (5)
llvm/llvm-project
Sep 2021 - Jan 2023
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:552 reviews, 5 commits, 509 PRs in 1 year 4 months
Contributions summary:Owen's contributions primarily focused on fixing formatting issues within the codebase. They addressed regressions and improved code style by renaming variables and standardizing coding practices, and refactoring in the LLVM project. The changes involved the use of clang-format tools, specifically in modifying the codebase, which indicates the user's involvement in maintaining code quality and applying automated code formatting. The contributions demonstrate the user's ability to work within the established coding standards of the LLVM project.
compilerstechnologiesclangsubmittoolchain
llvm-mirror/clang
Sep 2018 - Sep 2019
Mirror kept for legacy. Moved to https://github.com/llvm/llvm-project
Role in this project:Back-end Developer & Code Style Maintainer
Back-end Developer & Code Style MaintainerContributions:20 commits in 1 year
Contributions summary:Owen primarily contributed to `clang-format` by identifying and fixing bugs. Their work focused on improving code formatting, especially around brace wrapping, and addressing issues related to switch statements, macro definitions, and template handling. The user also implemented and maintained various style options, contributing to better code formatting and readability within the project. They demonstrate experience with both C/C++ and working with code style configurations.
keptwindowsllvmcc-plus-plus
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