Phoebe Owusu is a Computer Engineering student at the University of Toronto with three years of hands-on experience contributing to system software and compilers. She has interned across Microsoft, AMD, and NVIDIA teams focused on .NET runtime and JIT work, Visual Studio C++, Azure Cache, and AI/ML storage—demonstrating a breadth in low-level systems and developer tooling. Her open-source contributions to the high-profile dotnet/runtime repo include implementing and testing Arm64/SVE hardware intrinsics and floating-point conversion APIs, signalling strong expertise in architecture-aware optimization. Phoebe is open to 2027 new grad roles and brings practical exposure to both cloud-scale developer experiences and GPU/AI storage ecosystems. Notably, she combines compiler-level thinking with a knack for extending test infrastructures, making her comfortable shipping correctness-focused optimizations on real-world runtimes.
3 years of coding experience
1 year of employment as a software developer
Bachelor of Applied Science - BASc, Computer Engineering, Bachelor of Applied Science - BASc, Computer Engineering at University of Toronto
.NET is a cross-platform runtime for cloud, mobile, desktop, and IoT apps.
Role in this project:
Back-end Developer
Contributions:5 reviews, 15 PRs, 1 push in 2 months
Contributions summary:Phoebe primarily contributed to the implementation and testing of hardware intrinsic functions within the .NET runtime, specifically targeting the Arm64/SVE architecture. Their work involved adding new APIs for converting data types, particularly for float and double precision floating-point numbers, and extending the existing test infrastructure to validate the correctness of these intrinsics. The user's contributions included adding and modifying test templates and code, suggesting a focus on low-level optimization and support for specific hardware capabilities.
.NET is a cross-platform runtime for cloud, mobile, desktop, and IoT apps.
Contributions:63 pushes, 9 branches, 15 comments in 1 month
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