Stella Stamenova
Principal Software Engineering Manager at Microsoft
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolStella Stamenova is a Principal Software Engineering Manager at Microsoft with over eight years of experience building compilers, platform services, and hardware-software stacks across Windows, Linux, and cloud environments. She blends deep systems engineering—API design, DRM, cryptography, and testing infrastructures—with team leadership on projects ranging from PlayReady and Media Foundation to Azure hardware systems and AI-focused compilers. A hands-on contributor in notable open-source projects like ONNX-MLIR and LLDB, she has improved cross-platform build/test pipelines and CI for complex C++/Python toolchains, including Windows-specific fixes and parallel build support. Based in Redmond, she is known for turning brittle platform integrations into robust, testable systems and for mentoring engineers through shipping production-grade services.
8 years of coding experience
17 years of employment as a software developer
Bachelor of Arts Computer Science and Mathematics, Bachelor of Arts Computer Science and Mathematics at Macalester CollegeInternational Baccalaureate, International Baccalaureate at UWC Adriatic - Collegio del Mondo Unito dell'Adriatico O.N.L.U.S.
English, Bulgarian, Italian
Github Skills (17)
c-language10
python10
build-system10
cmake10
lldb10
cicd10
build-automation10
cprogramming-language10
test-automation10
debug9
debugging9
windows9
makefile8
gnu-make8
protobuf7
Programming languages (8)
Github contributions (5)
onnx/onnx-mlir
Oct 2020 - Jan 2023
Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:368 reviews, 109 commits, 107 PRs in 2 years 3 months
Contributions summary:Stella primarily focused on improving the build and test infrastructure for the ONNX-MLIR project. They addressed issues with Windows builds, including fixing build scripts, dependency management (like protobuf), and integrating tests. Additionally, the user added features to the build process, such as supporting parallel builds and improving the documentation and CI build procedures.
pytorchrepresentationdeep-learningmlironnx-models
llvm-mirror/lldb
May 2018 - Sep 2019
Project moved to: https://github.com/llvm/llvm-project
Role in this project:Test Automation Engineer
Test Automation EngineerContributions:88 commits in 1 year 4 months
Contributions summary:Stella primarily contributed to the testing aspect of the LLDB project. They fixed and enhanced existing tests, updated tests to work with Python 3, and addressed issues related to Windows-specific behavior, including problems with register reads and memory allocation. The user also added new tests and marked tests as failing/passing based on their observations. The contributions are aimed at ensuring the stability and functionality of the LLDB debugger across different platforms.
llvm
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