Danylo Vashchilenko

Machine Learning Engineer at Amazon Web Services (AWS)

New York, New York, United States
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Summary

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Senior
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Danylo Vashchilenko is a Machine Learning Engineer with 13 years of experience building data-driven systems, currently working at AWS Titan Labs in New York. He combines cloud-native engineering with applied ML — from forecasting and fraud detection to computer vision — and has led production deployments at companies like Wag, Step, and UJET. As founder of Geminus he built end-to-end embedded and mobile ML products that run on Raspberry Pi and iOS, demonstrating hands-on expertise in TensorFlow, OpenCV, and systems integration. He also teaches graduate-level deep learning at UCLA Anderson, translating cutting-edge research (CNNs, RNNs, GANs) into practical curricula. Comfortable across Python, SQL, Docker, and AWS, he bridges product needs and scalable infrastructure while mentoring teams on experimental design and A/B testing. An economist by training, he brings an unusually strong business-minded view to ML solutions, emphasizing measurable value and robust evaluation.
code13 years of coding experience
job7 years of employment as a software developer
bookBachelor's Degree, Economics, Bachelor's Degree, Economics at Stockholm School of Economics in Riga
languagesEnglish, Russian, Ukrainian, Latvian
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Github Skills (78)

python10
deep-learning10
data-science10
tensorflow10
android-app10
pytorch10
machine-learning10
neural-network9
jax9
nlp9
kotlin9
speech-recognition9
natural-language-processing9
maze9
transformer8

Programming languages (6)

JavaShellC++JavaScriptJupyter NotebookPython

Github contributions (5)

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equalsdanny/secretum

Dec 2016 - Oct 2018

An offline-ready password manager with end-to-end encryption for the mobile web.
Contributions:3 PRs, 110 pushes, 4 branches in 1 year 10 months
cryptographyend-to-endpassword-generatorclient-sidesecurity
hellodanylo/maze

Mar 2017 - Oct 2022

Contributions:10 pushes, 4 tags in 5 years 8 months
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Danylo Vashchilenko - Machine Learning Engineer at Amazon Web Services (AWS)