The codebase for the narayana project
Role in this project:
Back-end Developer Contributions:155 reviews, 64 commits, 95 PRs in 3 years 9 months
Contributions summary:Martin primarily focused on refactoring the codebase to remove dependencies and upgrade to the latest LRA specification versions. They removed dependencies on LRA clients, particularly from the LRA coordinator. Additionally, the user modified the LRA Coordinator, and related resources, updating it to the latest LRA specification and making necessary changes to accommodate the changes. They also addressed bugs and implemented tests within the project.
deep-learningcodebasepythonmachine-learning
The quickstarts demonstrate JBoss EAP, Jakarta EE 10 and a few additional technologies. They provide small, specific, working examples that can be used as a reference for your own project.
Role in this project:
Back-end Developer & QA Engineer / Test Automation Engineer Contributions:38 commits in 3 years
Contributions summary:Martin primarily contributes to testing and quality assurance within the JBoss EAP quickstarts repository. They add and modify integration tests, predominantly focusing on MicroProfile technologies, specifically metrics, health, OpenTracing, REST Client, Config, and JWT. The commits involve writing and modifying Java-based Arquillian tests to validate the functionality of quickstarts. The user is actively engaged in ensuring the correct implementation and behavior of various MicroProfile specifications within the JBoss EAP environment.
jboss-eap