Vitaly Kovalev
Senior Software Engineer at Google
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolVitaly Kovalev is a Senior Software Engineer with 11 years of experience building end-to-end ML-powered data products, currently contributing to Google's internal ML infrastructure for centralized data management. He combines deep academic training in mathematics and modern deep learning nanodegrees with hands-on expertise in Python, PyTorch, PySpark, Docker/Kubernetes and cloud platforms to deliver high-performance data pipelines and scalable model deployment. His background spans imaging mass spectrometry at EMBL—where he architected a multi-component backend used by labs worldwide—to AI-driven drug-target discovery at GSK, showing an ability to transfer ML research into production. Comfortable across the full stack, he blends data engineering, model experimentation, and service integration, and maintains a lean “ML infra” focus in his open-source work. Notably, he has built auto-scaling image processing services and active learning segmentation systems that process millions of images in production.
11 years of coding experience
12 years of employment as a software developer
Languages, Languages at InterlinguaData Science, Data Science at CourseraMachine Learning Engineer Nanodegree, Machine Learning Engineer Nanodegree at UdacityBachelor's degree, Information Technology, Bachelor's degree, Information Technology at Voronezh State University
English, Russian, German
Stackoverflow
13reputation
100reached
0answers
1question
Github Skills (80)
mass10
astronomy10
mass-spectrometry10
marks10
imaging10
bioinformatics10
convolutional-neural-networks9
notebook9
ipython9
ablation9
jupyter9
ansible8
parser8
python8
infrastructure8
Programming languages (6)
Github contributions (5)
telesto-ai/telesto-base
Apr 2020 - Feb 2021
Base image for telesto.ai models
Contributions:8 reviews, 24 PRs, 33 pushes in 10 months
pythonbase-imagemachine-learningai-modelstelesto
intsco/am-segmentation
Jan 2019 - Mar 2021
Imaging mass spectrometry ablation marks segmentation with convolutional neural networks.
Contributions:79 commits, 1 PR, 61 pushes in 2 years 2 months
pytorchsegmentationdeep-learningmarksspectrometry
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