Ondřej Chaloupka
Software Engineer at Marinade.Finance
Brno, South Moravia, Czechia
Summary
🤩
Rockstar🎓
Top SchoolOndřej Chaloupka is a seasoned software engineer with 14 years of experience, transitioning from Java EE and transaction-intensive systems at Red Hat to Rust and smart-contract development on Solana. He combines deep expertise in distributed transactions and EJB internals—evidenced by contributions to WildFly, WildFly Core and Narayana—with recent work implementing governance and CLI tooling in prominent Solana projects like SPL and Anchor. Based in Brno, he currently builds backend services and on-chain programs at Marinade.Finance, bringing practical cross-language experience in Java, Python, TypeScript and Rust. Notably, his open-source contributions range from core application server fixes to test instrumentation improvements in Byteman, reflecting both low-level systems knowledge and a focus on testability and robustness.
14 years of coding experience
13 years of employment as a software developer
Mgr, Informatics, Mgr, Informatics at Masarykova univerzita Fakulta informatikySPŠE Pardubice
English, Portuguese, Czech
Stackoverflow
712reputation
57kreached
48answers
2questions
Github Skills (31)
debug10
transaction10
testing10
java10
rule-engine10
javas10
transactionscope10
junit10
solana10
wildfly10
blockchain10
governance10
error-handling10
engine10
rust10
Programming languages (13)
Github contributions (5)
jbosstm/narayana
Mar 2013 - Oct 2021
The codebase for the narayana project
Role in this project:
Back-end Developer
Back-end DeveloperContributions:361 reviews, 360 commits, 534 PRs in 8 years 7 months
Contributions summary:Ondřej contributed to bug fixes and improvements to the Narayana JTA project, focusing on the core transaction management functionality. Their work involved addressing issues in XTS tests, fixing script-related problems and enhancing the logging of transactional actions. The user also made modifications related to encoding in various operations and introduced several fixes to ensure robustness and accuracy of transactions by addressing code quality issues.
deep-learningcodebasepythonmachine-learning
bytemanproject/byteman
Nov 2013 - Jul 2021
Role in this project:Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:3 reviews, 35 commits, 18 PRs in 7 years 9 months
Contributions summary:Ondřej primarily contributed to the `contrib/dtest` module, enhancing the instrumentation and testing capabilities of the project. Their work included adding features to instrument classes and methods, handling concurrent access, and implementing assertion methods for test verification. The user also refactored the `ThreadHistoryMonitorHelper` to store all events, improving the logging and analysis of thread execution. Further, the user made improvements to the build process, which included quoting file paths for handling space characters.
javascriptmain-projectmain-repo
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