Ian Bearman
Principal Software Architect at Microsoft
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolIan Bearman is a Principal Software Architect at Microsoft with over two decades of experience building compilers and performance-focused tooling, currently serving as Rust Performance Architect and previously leading AI frameworks and compiler teams for Azure and the Maia 100 accelerator. He combines deep compiler expertise—from MSVC and .NET Native code generation to MLIR/ONNX-based AI compilers—with hands-on engineering and people leadership across multi-disciplinary teams. Ian is a pragmatic engineer who focuses on build systems, dependency management, and portability (notably contributing Windows/ARM64 build support to git-for-windows and infrastructure fixes in onnx-mlir). He has a strong track record of shipping optimization technologies (LTO, PGO, inlining, pointer analysis) and translating hardware capabilities into developer-facing toolchains. Based in Redmond and grounded in a CS degree from UIUC, he actively recruits and mentors engineers for remote-friendly roles tackling cutting-edge ML compiler challenges. Beyond management, he still writes and refactors low-level tooling, making him a rare leader who stays deeply technical.
8 years of coding experience
24 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Illinois Urbana-Champaign
Stackoverflow
1reputation
0reached
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Github Skills (11)
windows10
vcpkg10
arm10
c-language10
onnx10
cprogramming-language10
mlr10
build-automation10
build-system9
compiler-optimization9
powershell8
Programming languages (11)
Github contributions (5)
onnx/onnx-mlir
Apr 2021 - May 2022
Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 reviews, 28 commits, 16 PRs in 1 year 1 month
Contributions summary:Ian primarily contributed to the infrastructure of the ONNX-MLIR project. Their work involved fixing warnings, removing deprecated functions, and excluding certain header files from warnings. They also addressed a variety of issues, including removing unused variables, allowing the invocation of binaries without extensions on Windows, and refactoring pass options. These contributions indicate a focus on code quality, build processes, and overall project maintainability.
pytorchrepresentationdeep-learningmlironnx-models
git-for-windows/git
Jan 2020 - Feb 2020
A fork of Git containing Windows-specific patches.
Role in this project:Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:15 commits, 1 PR, 14 comments in 4 days
Contributions summary:Ian's contributions primarily revolve around enhancing the build process and supporting Windows/ARM64 binaries. They installed dependencies for ARM64, added support for building these binaries within the project, and modified build scripts to handle different architectures. They focused on integrating with the vcpkg package manager to install and manage third-party libraries for the targeted architectures. Their work involved build system configurations and dependency management.
version-controlwindowsgit-hookslibgit2patches
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