Ricardo Martinelli
Senior Technical Solutions Engineer at Databricks
São Paulo, Brazil
Summary
🤩
Rockstar🎓
Top SchoolRicardo Martinelli is a Senior Technical Solutions Engineer with 13 years of experience building cloud-native data and MLOps platforms, now supporting customers at Databricks after a decade-plus career at Red Hat. He has led releases for the Kubeflow community distribution and contributed backend and CI/CD improvements to kubeflow/pipelines, including integrating the Tekton execution backend and optimizing pipeline caching. Comfortable across data engineering (Spark, S3, Presto), orchestration (Argo, Kubernetes, Tekton) and container tooling (Docker, Podman), he bridges engineering, release coordination, and customer-facing troubleshooting. His work on Open Data Hub and Kubeflow highlights a commitment to community-driven open source, while a master’s in Computer Engineering underscores his technical depth. An underrated strength is his ability to translate complex operational challenges into repeatable release and CI practices that scale across distributed teams.
13 years of coding experience
17 years of employment as a software developer
Fédération Internationale de l'Art PhotographiqueUdacityMaster's degree Computer Engineering, Master's degree Computer Engineering at Escola Politécnica da USPN. Sra. da GlóriaBachelor Computer Science, Bachelor Computer Science at Universidade São Judas TadeuTechnical Eletronics, Technical Eletronics at Liceu de Artes e Ofícios de São Paulo
English, Spanish, Portuguese, Italian
Stackoverflow
26reputation
93reached
2answers
0questions
Github Skills (20)
kubernetes10
back-end-development10
tekton10
cicd10
go10
kubernetes-pods10
kubeflow-pipelines10
backend10
mlops9
docker8
dockers8
machine-learning7
seam6
jbosstools6
jsf6
Programming languages (22)
Github contributions (5)
kubeflow/pipelines
Jun 2022 - Mar 2025
Machine Learning Pipelines for Kubeflow
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:58 reviews, 19 PRs, 854 comments in 2 years 9 months
Contributions summary:Ricardo contributed significantly to the backend infrastructure by merging kfp-tekton backend code, which likely involved integrating the Tekton execution engine into the Kubeflow Pipelines platform. They also focused on improving the CI/CD pipeline and infrastructure, adding integration tests and scripts to deploy and test components. Furthermore, the user updated generated proto files related to caching, indicating work on optimizing pipeline execution and data management.
pipelinetektondata-sciencemachine-learningmlops
rimolive/data-science-pipelines
Jan 2024 - Apr 2025
Machine Learning Pipelines for Kubeflow
Contributions:143 PRs, 441 pushes, 171 branches in 1 year 2 months
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