Dan Antoshchenko
Machine Learning Research Engineer at MEGOGO
Kyiv, Ukraine
Summary
👤
Senior🎓
Top SchoolDan Antoshchenko is a machine learning research engineer with over a decade of hands-on experience and 7+ years focused on computer vision and deep learning, currently building production ML at MEGOGO. He specializes in taking cutting-edge research from papers to robust production pipelines, with a strong track record optimizing neural network inference for real-world retail and entertainment applications at Reface and DatAI. Comfortable across the stack, Dan both prototypes novel algorithms and hardens systems for reliability, demonstrated by practical contributions to popular repos like an improved MTCNN PyTorch implementation. Trained in physics (Master’s in High Energy Physics), he brings a quantitative, experimental mindset to model design and debugging. Outside of core engineering, he explores generative art—an outlet that informs his creative approach to visual ML problems.
10 years of coding experience
6 years of employment as a software developer
Master’s Degree, High Energy Physics, Master’s Degree, High Energy Physics at Kyiv National Taras Shevchenko University
English, Ukrainian, Russian
Github Skills (6)
face-detection10
computer-vision10
pytorch10
convolutional-neural-networks10
python10
jupyter-notebook9
Programming languages (4)
Github contributions (5)
TropComplique/mtcnn-pytorch
Aug 2017 - Mar 2018
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
Role in this project:
ML Engineer
ML EngineerContributions:9 commits, 2 PRs, 7 pushes in 6 months
Contributions summary:Dan primarily contributed to the face detection project by modifying core detection and visualization files. They updated the `detector.py` script to include a check for empty bounding box results, which likely addressed an error condition. Furthermore, the user added documentation and refactored code in `test_on_images.ipynb`, suggesting a focus on improving the project's usability and maintainability, while fixing some errors in the project.
multi-taskface-recognitionconvolutionalalignmentconvolutional-networks
TropComplique/WESPE
Dec 2018 - Feb 2019
Contributions:24 commits, 16 pushes, 1 branch in 2 months
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