Dmytro Kurbakov
Quantitative Technologist
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolDmytro Kurbakov is a quantitative technologist and software engineer with 11 years’ experience building low-latency trading systems, kernel/hypervisor features, and ADAS algorithms across finance and automotive domains. He combines strong C++ and Python expertise with SQL, Linux, ROS, and PyTorch to deliver production-grade systems from data warehouses to perception stacks. His background spans Delivery Hero’s global data platform to kernel work at Amazon and recent quant research tooling, giving him a rare full-stack view from data ingestion to high-performance inference. Passionate about algorithms, machine learning, and computer vision, he also prototypes self-driving RC cars—an indicator of hands-on systems integration and applied research. Based in Berlin, he pairs rigorous academic training in economics with multiple Udacity nanodegrees in deep learning, computer vision, and robotics to bridge theory and engineering in safety-critical and high-frequency environments.
11 years of coding experience
9 years of employment as a software developer
Deep learning, Deep learning at UdacityMaster of Science - MS, Economics, Master of Science - MS, Economics at Universität des Saarlandes
English, German, Ukrainian, Russian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (20)
pytorch4
deep-learning4
python4
computer-vision4
object-detection4
twine4
python-requests3
turkish3
opcodes3
bootstrap3
css3
machine-learning2
keypoint2
keras2
hardware1
Programming languages (5)
Github contributions (5)
kurbakov/learning
Aug 2016 - Mar 2023
Contributions:308 pushes, 1 branch in 6 years 8 months
kurbakov/facial-keypoints
Apr 2019 - Jan 2021
CNN for facial keypoints detection, Python3, PyTorch
Contributions:13 commits, 12 pushes, 1 branch in 1 year 9 months
pytorchkeypointspythondeep-learningfacial
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