Mostafa Hani
Founding Engineer at Unify
Giza, Giza, Egypt
Summary
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Rockstar🎓
Top SchoolMostafa Hani is a Founding Engineer with five years of hands-on experience building AI-enabled software and interactive graphics experiences from Giza, Egypt. He blends a deep interest in computer graphics and game development with practical AI and backend engineering skills, recently contributing to an open-source project that improves ML framework interoperability by refactoring search functions and fixing NumPy backend bugs. Mostafa has moved rapidly through startup roles—from software engineer to founding engineer at Unify—demonstrating an ability to ship production-quality code and evolve system design. His work shows attention to developer ergonomics and documentation, improving usability for complex functions like ivy.Container nonzero examples. Comfortable across research-informed features and pragmatic engineering, he pairs creative vision with reliable execution. He holds a BSc in Computer Science with an AI focus from Cairo University.
5 years of coding experience
2 years of employment as a software developer
Bachelor of Science Degree in Computer Science, Artificial Intelligence, 3.0/4.0, Bachelor of Science Degree in Computer Science, Artificial Intelligence, 3.0/4.0 at Cairo University
Stackoverflow
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Github Skills (8)
python10
numpy10
refactor9
backend9
back-end-development9
refactoring9
documentation8
machine-learning5
Programming languages (6)
Github contributions (5)
unifyai/ivy
Jun 2022 - Jan 2023
Convert Machine Learning Code Between Frameworks
Role in this project:
Backend Developer
Backend DeveloperContributions:353 reviews, 313 commits, 182 PRs in 7 months
Contributions summary:Mostafa's contributions primarily focused on refactoring and improving the existing code, specifically in the area of searching functions. They enhanced the codebase by adding functional and instance method examples for the nonzero function, including examples using the ivy.Container data structure, along with documentation updates, improving the usability and clarity of the function. Additionally, the user addressed a bug in the NumPy backend, ensuring that a function correctly returns an ndarray, and also refactored and merged code.
machine-learningpythontensorflowpytorchnumpy
CatB1t/ivy
Feb 2023 - Nov 2023
The Unified Machine Learning Framework
Contributions:4 PRs, 381 pushes, 65 branches in 9 months
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