Haritha Mohan is a Machine Learning Engineer based in Seattle with three years of experience building performant, low-level system solutions and production-ready ML features. She has driven privacy and security efforts for Core AI at Microsoft and contributed UIKit improvements to the high-profile dotnet/macios project, demonstrating fluency bridging native iOS SDKs and managed .NET languages. Now at PhysicsX, she focuses on engineering efficient models and systems that prioritize both accuracy and runtime performance. Her background includes hands-on software engineering at scale, internships in finance tech, and teaching tech skills—evidence of strong communication and practical mentorship. Hard-wired for tinkering, she often gravitates toward platform and API-level fixes that improve developer ergonomics and long-term maintainability.
3 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at The University of North Carolina at Chapel Hill
.NET for iOS, Mac Catalyst, macOS, and tvOS provide open-source bindings of the Apple SDKs for use with .NET managed languages such as C#
Role in this project:
Mobile Developer (iOS)
Contributions:1015 reviews, 25 commits, 125 PRs in 3 months
Contributions summary:Haritha primarily contributed to the .NET for iOS project, focusing on UIKit-related improvements. Their commits include adding features like a preferred content size wrapper, implementing generic callbacks for gesture recognizers, and fixing capitalization issues. The user also addressed several capitalization and other minor bugs across multiple types, improving code quality and maintainability.
Bridges the worlds of .NET with the native APIs of macOS, iOS, tvOS, and watchOS.
Contributions:226 pushes, 156 branches in 2 years 1 month
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Haritha Mohan - Machine Learning Engineer at PhysicsX