Michal Zerola

Expert at Deutsche Börse

Prague, Prague, Czechia
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Summary

👤
Senior
🎓
Top School
Michal Zerola is an expert software engineer with over a decade of experience designing and architecting cloud-native systems for Deutsche Börse, where he progressed from hands-on developer work to leading risk-product architecture. His background spans distributed systems, messaging middleware (AMQP/JMS), automation, CI/CD and containerization, grounded in a PhD in distributed systems and practical HPC/grid experience from high-energy physics collaborations. Michal has a track record of building integration layers, monitoring tooling and optimization for large-scale, low-latency infrastructures and has applied academic-style rigor to production problems. Based in Prague, he combines deep systems-level knowledge (C/C++, Java, Python) with a pragmatic focus on measurable success and operational reliability. An often-overlooked strength is his early work in scientific collaborations and logistics optimization, which honed his skills in distributed data access and cost-aware planning.
code10 years of coding experience
job13 years of employment as a software developer
bookHigh School, High School at GAV
bookDoctor of Philosophy (Ph.D.), Distributed Systems, Parallel Computing, Planning & Scheduling, Doctor of Philosophy (Ph.D.), Distributed Systems, Parallel Computing, Planning & Scheduling at České vysoké učení technické v Praze - ČVUT
bookMgr (equiv MSc.), Computer Science (Combinatorics & Graph Theory), Mgr (equiv MSc.), Computer Science (Combinatorics & Graph Theory) at Univerzita Karlova v Praze
languagesEnglish, Slovak, Czech, German
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Github Skills (70)

non-blocking9
charts9
java9
high-performance8
event-loop8
helm8
reactive8
operator8
concurrency8
controller8
kotlin8
nio8
vertx8
kubernetes8
jvm8

Programming languages (6)

JavaC++ShellGoHTMLPython

Github contributions (5)

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Contributions:50 PRs, 138 pushes, 46 branches in 4 months
loaderamqpbrokermargin
zerola/reng

May 2017 - Oct 2018

Recommendation Engine
Contributions:58 PRs, 144 pushes, 59 branches in 1 year 4 months
recommendationmachine-learningmemgraphrecommendation-enginerecommender-system
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Michal Zerola - Expert at Deutsche Börse