Tori Baker is a software engineer with 11 years of experience, currently focused on code generation for ML compilers targeting GPUs at Google in Munich. She has deep backend and performance engineering expertise, contributing to high-profile open-source projects like Triton (GPU compiler optimizations) and Orbit (C/C++ profiler), where she improved stability, performance calculations, and UI data handling. Her background spans systems engineering for large-scale platforms—from VM image tooling at Stadia to build/test reliability for the IREE ML compiler—and includes practical experience in Go, C/C++, Python, and GPU toolchains. Tori’s work emphasizes correctness under hardware constraints (e.g., shared memory, warp layouts, division-by-zero handling) and improving test and presubmit infrastructure to prevent regressions. She combines research-minded debugging with production-focused automation, and often surfaces non-obvious fixes that improve both compiler IR generation and runtime behaviour.
11 years of coding experience
6 years of employment as a software developer
California Polytechnic State University, San Luis Obispo
Contributions:184 reviews, 49 commits, 99 PRs in 1 year 6 months
Contributions summary:Tori made significant contributions to the Orbit performance profiler, specifically adding features related to standard deviation calculations and incorporating them into the live data views. They also optimized the UI by distinguishing the "All Threads" event track and adjusting its height and tooltip. Furthermore, the user refactored the standard deviation calculations to ensure accuracy by recalculating them upon capture completion. This indicates a focus on data processing, performance analysis, and UI enhancements.
Development repository for the Triton language and compiler
Role in this project:
Backend Developer
Contributions:14 reviews, 49 PRs, 43 pushes in 1 year 8 months
Contributions summary:Tori primarily contributed to the backend aspects of the Triton language and compiler, focusing on optimizations and bug fixes within the TritonGPU backend. Their work involved improving code related to shared memory access, layout conversions, and handling potential division-by-zero scenarios. Key contributions include fixing issues related to incorrect warp order calculations for MMA_V3 layouts and improving the stability of the compiler. The user also added and modified tests related to the LLVM IR generation and the Triton compiler's behavior.
compilerprogramming-languagecode-generationtriton
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