Helber Belmiro
Software Engineer at Red Hat
Rio Grande do Sul, Brazil
Summary
🤩
Rockstar🎓
Top SchoolHelber Belmiro is a software engineer with eight years of experience specializing in cloud-native and open source platforms, currently contributing to OpenShift AI at Red Hat through work on Kubeflow Pipelines and Open Data Hub. He brings deep backend and DevOps expertise—especially in Go, Java, and Quarkus—having improved execution paths, testing pipelines, and CloudEvent handling in high-profile projects like kubeflow/pipelines and Kogito. Prior to OpenShift AI, he drove core features and tooling for Red Hat’s Process Automation and helped modernize Kogito runtimes and examples, improving reliability and native-image readiness. Earlier in his career he led architecture and framework development for a major Brazilian bank, building a reusable Java platform with DI, ORM, monitoring and production support. Comfortable across the stack, Helber blends hands-on bug fixes and refactors with automation and CI migrations (including GitHub Actions), making him a pragmatic contributor to production-grade open source. Based in Rio Grande do Sul, Brazil, he pairs strong engineering craftsmanship with a track record of enabling developer productivity at scale.
8 years of coding experience
13 years of employment as a software developer
Bachelor's degree, Information Technology, Bachelor's degree, Information Technology at UFN Universidade Franciscana
Portuguese, English
Stackoverflow
1,017reputation
57kreached
28answers
29questions
Github Skills (45)
github-ci10
docker10
kubernetes10
back-end-development10
jbpm10
workflow-engine10
dockers10
java10
javas10
kogito10
go10
bpmn10
quarkus10
kubernetes-pods10
executor10
Programming languages (17)
Github contributions (5)
kubeflow/pipelines
Nov 2023 - Apr 2025
Machine Learning Pipelines for Kubeflow
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:318 reviews, 58 PRs, 618 comments in 1 year 4 months
Contributions summary:Helber primarily contributed to backend functionality, specifically addressing bugs in the driver and refactoring code related to execution paths. They also implemented changes to improve testing, including migrating tests to GitHub Actions and adding supporting scripts for deployments. In addition, the user worked on updating dependencies and fixing issues with the scheduled workflow CRs.
pipelinetektondata-sciencemachine-learningmlops
apache/incubator-kie-kogito-runtimes
Jan 2022 - Jan 2023
Kogito Runtimes - Kogito is a cloud-native business automation technology for building cloud-ready business applications.
Role in this project:Back-end Developer
Back-end DeveloperContributions:266 reviews, 25 commits, 54 PRs in 1 year
Contributions summary:Helber's contributions primarily focused on enhancing the Kogito Runtimes project by modifying serverless workflow components. Their work included removing dependencies, incorporating process descriptions into OpenAPI Swagger generated code, and fixing issues related to CloudEvent handling and the generation of OpenAPI input model schemas. Furthermore, they added an endpoint to the process REST API for retrieving source files and addressed potential issues related to native image generation. The user also refactored code and implemented unit tests, indicating a focus on improving the reliability and functionality of the project.
kogitoknativebusiness-automationrule-enginedrools
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