Dmitry Bozhko
Research Engineer, Project Manager, Software Developer at JetBrains
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolDmitry Bozhko is a versatile research engineer, project manager and software developer with 9 years of professional experience and a 6+ year track record building expert systems for industrial facilities and high-performance simulation platforms for neural tissue development. He has led cross-functional teams and delivered integrations at multiple Gazprom industrial sites, founded ZebraML, and architected core blockchain components—successfully adapting Russian GOST signature algorithms and embedding certified crypto modules into an Ethereum-based financial blockchain. At JetBrains he designed and implemented a robust discrete-event simulation core for neurogenesis and learning experiments, combining computational neuroscience research with scalable engineering. Dmitry blends deep domain expertise in industrial MES/EAM systems, computational modeling of biological systems, and cryptographic core development, making him fluent at turning research ideas into production-grade software. Based in Munich, he pairs hands-on low-level development with product leadership and a knack for integrating certified security modules into mainstream platforms—an uncommon mix across neuroscience, industrial automation and blockchain.
9 years of coding experience
15 years of employment as a software developer
Master, Computer science, Master, Computer science at Saint-Petersburg State University Information Technologies, Mechanic and Optics (University ITMO)
English, Russian
Github Skills (11)
kotlin9
machine-learning7
simulation6
simulation-framework6
multi-agent6
onnx6
agent5
cgit2
cryptography1
cgi1
golang1
Programming languages (1)
Github contributions (5)
JetBrains-Research/cncourse
Sep 2020 - Sep 2021
Contributions:4 commits, 2 pushes, 1 branch in 11 months
JetBrains-Research/mads
Dec 2021 - Dec 2022
Multi-Agent Dynamic Simulation framework
Contributions:5 releases, 66 commits, 19 PRs in 1 year
multi-agentsimulationagentsimulation-framework
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