Ömer Özdemir
Software Engineer at Meta
Istanbul, Istanbul, United States
Summary
🤩
Rockstar🎓
Top SchoolÖmer Özdemir is a software engineer with 7 years of experience building high-performance distributed systems and ML infrastructure, currently working on large-scale training platforms at Meta. He has a strong foundation in networks, systems architecture and HPC, and a research background spanning bioinformatics, machine learning and databases. Ömer helped scale Gradio at Hugging Face—redesigning its backend to support a 15x growth and now serving around 1M developers monthly—and contributed backend improvements to the gradio repo such as type hints and event-loading. His startup and production experience includes routing optimization at Getir and RTOS work at TÜBİTAK, showing a knack for tackling both algorithmic and system-level challenges. Based in Istanbul with dual STEM degrees and a master’s in computer science, he combines rigorous analytical thinking with a pragmatic focus on reliability and maintainability.
7 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Penn State UniversityHigh School Diploma, High School Diploma at Çınar Fen Lisesi (Çınar Science High School)BS, Mathematics, 3.77/4.00, BS, Mathematics, 3.77/4.00 at Boğaziçi Üniversitesi
Turkish, English, Arabic, Japanese
Github Skills (9)
typehinting10
type-checking10
python10
api8
integrations8
api-design8
architectures7
architecture7
machine-learning5
Programming languages (13)
Github contributions (5)
gradio-app/gradio
Dec 2021 - Nov 2022
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Role in this project:
Back-end Developer
Back-end DeveloperContributions:238 reviews, 288 commits, 158 PRs in 10 months
Contributions summary:Ömer's commits primarily focused on enhancing the functionality and maintainability of the `gradio/interface.py` file. These contributions involved introducing type hints, which improves code readability and helps prevent bugs, and refactoring code to improve overall codebase formatting. The user also contributed by implementing event triggers in the blocks, by adding a load event, thereby demonstrating efforts towards backend improvements.
data-analysispythondata-sciencedeep-learningdeploy
omerXfaruq/School-Projects
Dec 2018 - Feb 2023
Contributions:135 commits, 143 pushes, 1 branch in 4 years 1 month
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