Koray Beyaz
Staff Software Developer at invent.ai
Ankara, Türkiye Turkey
Summary
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Top SchoolKoray Beyaz is a Staff Software Developer based in Ankara with 8 years of experience building scalable data pipelines and distributed systems, currently focused on Apache Spark at invent.ai. He progressed through roles from junior developer to staff within the same company, demonstrating rapid technical growth and ownership of production data workflows. With a background in mechanical engineering (BSc and MSc), he brings a quantitative, systems-oriented mindset to software problems and a knack for bridging theory and engineering. Koray is an active open-source contributor to Dask, improving core DataFrame operations (including groupby.shift) and documentation, reflecting practical expertise in parallel computing. He combines hands-on back-end development with a particular interest in ML at scale and performance-aware data engineering. An often-overlooked strength is his ability to translate complex distributed-compute concepts into reliable, well-documented code and examples for wider team and community use.
7 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Mechanical Engineering, Master of Science - MS, Mechanical Engineering at Hacettepe UniversityBachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
İngilizce
Stackoverflow
125reputation
45kreached
1answer
4questions
Github Skills (15)
dataframes10
pandas10
dask10
python10
dataframe10
numpy9
testing8
pytest8
documentation7
wxwidgets6
opencv6
tensorflow6
matplotlib6
resize6
wxpython6
Programming languages (6)
Github contributions (5)
dask/dask
Oct 2021 - Mar 2022
Parallel computing with task scheduling
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 5 PRs, 9 comments in 4 months
Contributions summary:Koray primarily contributed to the Dask library by implementing and improving DataFrame functionality. Their work included adding the `groupby.shift` method, fixing related bugs, and adding examples to the documentation. Furthermore, they updated the code to use the `meta` parameter correctly in the DataFrame constructor and improved the display of the `HighLevelGraph` representation. These contributions focused on enhancing core DataFrame operations and documentation.
pythonschedulingparallelnumpydask
kori73/spark
Apr 2023 - Aug 2024
Apache Spark - A unified analytics engine for large-scale data processing
Contributions:38 pushes, 2 branches in 1 year 4 months
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