Jan Voung is a software engineer based in the New York City area with a decade of experience building high-performance systems at Google. He holds a PhD in Computer Science from UC San Diego and a BS in EECS from UC Berkeley, blending deep academic rigor with production-grade engineering. Jan contributes to prominent open-source work in the LLVM project, where he optimized ThinLTO summaries and reduced memory usage in the compiler bitcode reader, demonstrating rare expertise in compiler internals and build systems. His background includes research internships at Microsoft Research and NEC Labs, reflecting a long-standing focus on systems and tooling research. Known for turning low-level complexity into measurable performance and maintenance gains, he thrives on projects that sit at the intersection of research and large-scale software engineering. Colleagues describe him as a pragmatic problem-solver who pairs careful debugging with an eye for long-term compatibility and efficiency.
9 years of coding experience
BS Electrical Engineering and Computer Science, BS Electrical Engineering and Computer Science at University of California, Berkeley
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Role in this project:
Back-end Developer
Contributions:124 reviews, 45 PRs, 16 pushes in 1 year 6 months
Contributions summary:Jan's primary focus was optimizing the size and performance of ThinLTO summaries within the LLVM compiler infrastructure. Their work involved modifying the bitcode reader to reduce memory usage during ThinLTO indexing, and the code changes suggest an in-depth understanding of compiler internals and bitcode format. The user also addressed compatibility issues with specific builds and tests, demonstrating proficiency in debugging and maintaining the project's build system.
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Contributions:90 pushes, 30 branches in 11 months
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