Onur Güngör
Data Science Manager
Istanbul, Istanbul, Turkey
Summary
👤
Senior🎓
Top SchoolOnur Güngör is a Data Science Manager based in Istanbul with 21 years of experience building and leading ML teams to turn research-grade NLP into product impact, currently focused on understanding course content at Udemy. He combines academic rigor—a PhD track at Boğaziçi University and a part-time lecturership on transformer pre-training—with hands-on engineering, having led AI teams and research projects at sahibinden.com and Huawei. A pragmatic contributor to open-source tooling, he improved experiment reproducibility in the well-regarded IDSIA/sacred project by enhancing file-based logging and stdout handling. He also founded and maintains a high-profile public outreach project translating evolutionary science for Turkish audiences, demonstrating a long-standing commitment to public-facing education. Colleagues describe him as a bridge between deep research and production systems, able to shepherd novel models into reliable, auditable deployments.
21 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at Boğaziçi University
English, Turkish
Stackoverflow
715reputation
180kreached
32answers
2questions
Github Skills (17)
python10
file-storage10
rep9
reproducible-research9
machine-learning9
repr9
shell6
android6
virtualenvwrapper6
virtualenv6
linux6
bash6
supervisord6
scripting6
mongodb5
Programming languages (6)
Github contributions (5)
IDSIA/sacred
Oct 2018 - Feb 2019
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 2 PRs, 4 comments in 4 months
Contributions summary:Onur focused on improving the `FileStorageObserver` for the Sacred experiment logging tool. They implemented a mechanism to track and save partial output from the standard output stream (`cout`) for more accurate logging, particularly in cases where output is produced in multiple events. Additionally, the user addressed compatibility issues, including adding workarounds for Python 2's `FileNotFoundError` and `FileExistsError` and modifying the project's version to support installation from a git+https URL. They also reset the `cout_write_cursor` in the `started_event` method.
pythonorganizeinfrastructuremachine-learningsacred
onurgu/twitter-annotator
Apr 2015 - May 2020
Contributions:11 commits, 10 pushes, 2 branches in 5 years 1 month
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