Budi Dharmawan is a full-stack software engineer with 10 years of experience based in Chiyoda, Japan, known for shipping pragmatic UI and backend improvements for open-source machine learning infrastructure. He has contributed to Feast, the widely used open-source feature store, implementing interactive Vue.js front-end components, refining Python SDK quickstarts, and extending core Java ingestion logic—bridging UX, SDK, and data-engineering concerns. Comfortable across the stack, he pairs front-end polish with backend robustness, often making documentation and developer experience better as part of his code contributions. Notably, his work reflects a focus on practical developer workflows rather than aesthetics, consistent with his concise personal tagline.
The Open Source Feature Store for Machine Learning
Role in this project:
Full-stack Developer
Contributions:10 commits, 9 PRs, 2 pushes in 7 months
Contributions summary:Budi primarily contributed to the front-end development of a feature store UI, focusing on building interactive components with Vue.js (evident from code changes in `SearchTable.vue`). They also updated the quickstart guide within the Python SDK, removing datastore IDs and fixing the quickstart guide, indicating back-end/SDK interaction and documentation updates. Additionally, the user made changes to the core Java code base (JobInfo.java), likely to incorporate a feature allowing the ingestion of more features in one go, highlighting back-end and potential data engineering skills.
Contributions:2 PRs, 80 pushes, 2 branches in 7 years 10 months
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