Kareem Morsy

Product Security Engineer 1 at noon

Cairo, Cairo, Egypt
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Summary

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Kareem Morsy is a Product Security Engineer and Cairo University computer science master's student with a decade of programming experience across .NET, Java/Kotlin, Android, web, and game development toolchains. He pairs hands-on engineering—evidenced by substantive contributions to the Ivy ML library’s TensorFlow frontend—with teaching experience as a university TA for Data Structures and OOP. A competitive programmer (EOI medalist and ECPC finalist) who began coding in 2013, he brings strong problem-solving instincts and a 3.9+ GPA to applied security and product work. He has shipped freelance Android projects since 2019 and continually explores Unity and game-dev concepts alongside data science and DevOps interests. Pragmatic and curious, he blends academic rigor with open-source impact, recently implementing and testing numerous core ML ops to improve framework interoperability.
code10 years of coding experience
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Cairo University
bookHigh School Diploma, 93.5%, High School Diploma, 93.5% at Scholars' Secondary School
languagesArabic, English
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Stackoverflow

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Github Skills (7)

unit-testing10
machine-learning10
deep-learning10
tensorflow10
python10
linear-algebra9
api-design8

Programming languages (11)

TypeScriptJavaC++ShellJavaScriptVuePHPVisual Basic .NET

Github contributions (5)

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ivy-llc/ivy

Oct 2022 - Jan 2023

Convert Machine Learning Code Between Frameworks
Role in this project:
userML Engineer
Contributions:403 reviews, 26 commits, 261 PRs in 3 months
Contributions summary:Kareem contributed to the Ivy library by adding new functions to the TensorFlow frontend, specifically implementing and testing the `Identity`, `IdentityN`, `Inv`, `Mul`, `Min`, `Max`, `OnesLike`, `Cholesky`, `LeftShift`, `NthElement`, `MatrixDeterminant`, `InvGrad`, `Invert`, `RightShift`, `Sum`, `TruncateDiv`, `Diag`, `Round`, `MatrixInverse`, `Unpack`, `Pack`, `Pad`, `Softplus`, `Softmax`, and `PadV2` functions. These additions involved writing test cases and integrating new functionality within the existing framework. They also refactored existing code to ensure correct function calls and correct outputs.
pythontensorflowframework-learningtemplatedata-science
Helping teachers get insights and assist essay, or short paragraph questions in an instant. Powered by NLP
Contributions:2 reviews, 22 commits, 22 PRs in 1 month
exam-management-systemgrading-systemnlpnlp-machine-learning
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