Berke Y
Software Engineer at Midas
Arona, Piedmont, Turkey
Summary
🤩
Rockstar🎓
Top SchoolBerke Y is a performance-minded software engineer with seven years of experience building low-latency trading systems, real-time data pipelines, and optimized image-processing code in Modern C++, C, and Python. He has shipped production trading engines, matching and order management components, and colocated market-data platforms while also integrating monitoring and database tooling like Grafana and QuestDB. An active open-source contributor to OpenCV, he improved PNG/JPEG codecs and enabled SIMD-accelerated libjpeg-turbo builds, yielding substantial real-world performance gains. Comfortable across full-stack and platform roles, he has implemented HFT strategies, CI/CD pipelines, and GUI tools, and he routinely mentors engineers to accelerate delivery. Based in Arona, Piedmont (Turkey), he combines systems-level optimization with practical automation to squeeze latency and resource use out of complex production environments.
7 years of coding experience
3 years of employment as a software developer
Lisans Derecesi, Bilgisayar Mühendisliği, Lisans Derecesi, Bilgisayar Mühendisliği at İstanbul Üniversitesi-Cerrahpaşa
Github Skills (10)
computer-vision10
opencv10
linux10
gtk10
c-language10
windows-gui10
cprogramming-language10
image-processing10
cmake9
libjpeg-turbo9
Programming languages (8)
Github contributions (5)
xeco23/WasIstLos
Dec 2020 - Feb 2022
An unofficial WhatsApp desktop application for Linux.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:10 reviews, 6 commits, 6 PRs in 1 year 2 months
Contributions summary:Berke primarily focused on enhancing the user interface and adding new features to the WhatsApp desktop application. They implemented fullscreen functionality, added the ability to start the application in the system tray, and integrated an autostart feature. Additionally, the user made UI adjustments and refactored code, suggesting a focus on both frontend and some backend elements.
desktop-applicationlinuxwhatsappcppwebkit2gtk
opencv/opencv
Jun 2022 - Sep 2022
Open Source Computer Vision Library
Role in this project:Back-end Developer
Back-end DeveloperContributions:39 reviews, 10 commits, 14 PRs in 3 months
Contributions summary:Berke primarily focused on optimizing and maintaining the OpenCV library's image codec functionalities. Their contributions include releasing resources in destructors for png and jpeg files, updating the libjpeg-turbo version, and integrating the spng encoder/decoder as an optional PNG codec. Furthermore, the user added support for decoding chunks and calculating checksums and enhanced the ImageCollection API. These modifications enhanced image processing capabilities.
computer-visionc-plus-plusdeep-learningimage-processing
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