V Yeşilkaynak

Senior Machine Learning Engineer at Base64 Document AI

Türkiye Turkey
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Summary

👤
Senior
🎓
Top School
V Yeşilkaynak is a Senior Machine Learning Engineer with a decade of experience building and researching applied ML systems across industry and academia. Currently at Base64 Document AI, he has moved through roles at Linde, Infineon, and several research labs, combining production-focused ML engineering with deep research experience from ITU and TUM. He favors authentic, straightforward professional branding and brings a pragmatic researcher's mindset to product problems, especially in document and industrial AI contexts. Colleagues describe him succinctly as "a strange loop," reflecting a reflective, systems-oriented approach to modeling and pipelines. Fluent in both research and deployment, he excels at translating experimental ideas into reliable, production-ready solutions.
code10 years of coding experience
job6 years of employment as a software developer
bookMaster's degree, Computer Science, Master's degree, Computer Science at Technical University of Munich
bookBachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at Istanbul Technical University
languagesTurkish, English, Japanese, French
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Github Skills (129)

python10
feature-extraction10
deep-learning10
efficientnet10
calculator10
imagenet10
computer-vision10
medical-image-processing10
semantic-segmentation10
twist10
pytorch10
machine-learning10
imaging10
segmentation10
medical-image-computing10

Programming languages (7)

C#C++CJavaScriptHTMLPythonFortran

Github contributions (5)

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MrGranddy/EfficientSeg

Jun 2020 - Jan 2023

This is a segmentation network based on good old EfficientNet, with a twist...
Contributions:26 commits, 2 PRs, 6 pushes in 2 years 8 months
pytorchimagenetsemantic-segmentationefficientnetdeep-learning
This is an interactive visualizer of the mandelbrot set fractal.
Contributions:5 PRs, 17 pushes, 4 branches in 3 years 1 month
fractalsmandelbrotvisualizermandelbrot-setfractal
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