Artem Trofimov
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolArtem Trofimov is a product-oriented technical leader with 13 years of experience building full-stack ML/AI and cloud-native systems, currently serving as Head of Engineering at JetBrains in Berlin. He has led teams across JetBrains and Yandex Cloud, shipping infrastructure for GPU workflow management, AI agent toolkits, serverless Jupyter notebooks, and open-source ML compute frameworks. Comfortable bridging research and product, Artem progressed from ML researcher to division and engineering leadership while completing a PhD in Computer Science, applying rigorous academic thinking to practical developer tooling. He is known for turning complex ML workflows into self-service platforms that empower data teams and reduce time-to-insight. Colleagues describe him as a hands-on leader who prioritizes developer experience and scalable architectures, with a track record of shipping both internal platforms and widely used engineering tools.
13 years of coding experience
12 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Saint Petersburg State UniversityBachelor's Degree, Applied Mathematics, Bachelor's Degree, Applied Mathematics at Kazan National Research Technical University named after A.N.Tupolev – KAIDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Constructor University
English, Russian
Github Skills (27)
runtimes10
python10
graph10
machine-learning10
java10
streaming10
kubernetes9
big-data9
mlops9
stream-processing9
hybrid8
data-context6
vk6
api6
high-performance5
Programming languages (6)
Github contributions (5)
lambdazy/serialzy
Nov 2022 - Mar 2023
Contributions:6 reviews, 95 commits, 28 PRs in 3 months
lambdazy/lzy
Aug 2021 - Mar 2023
Platform for a hybrid execution of ML workflows that transparently integrates local and remote runtimes
Contributions:2 releases, 97 reviews, 460 commits in 1 year 7 months
machine-learningruntimesdistributedhybridkubernetes
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