Hiromu Hota is a Principal Software Engineer at Snorkel AI with nine years of experience specializing in MLSys, MLOps, and productionizing machine learning systems. He blends research rigor (PhD in Computational Science and Engineering) with hands-on engineering, having moved from academic collaborations at Stanford to leading applied ML teams and now driving principal-level influence at a fast-growing ML company. A longtime open-source contributor, Hiromu has deep full‑stack experience—evidenced by substantive contributions adapting the widely used Apache Hop orchestration platform for the web, fixing SWT/RAP compatibility issues and integrating web codebases and tests. Based in Mountain View, he is equally comfortable architecting big-data integrations and optimizing ML deployment pipelines, with a track record of turning research prototypes into production-ready tooling.
9 years of coding experience
12 years of employment as a software developer
Monash University
Doctor of Philosophy (PhD) Computational Science and Engineering, Doctor of Philosophy (PhD) Computational Science and Engineering at Nagoya University
Contributions:39 commits, 50 PRs, 30 pushes in 11 months
Contributions summary:Hiromu's contributions primarily focused on adapting the Apache Hop orchestration platform for the web, addressing compatibility issues with RAP/RWT. They fixed bugs related to SWT components, menu items, and canvas drawing, ensuring proper functionality within the web environment. The commits also involved refactoring and adjustments to accommodate the limitations of RAP, such as replacing static modifiers and modifying code for client-side canvas drawing. Furthermore, the user integrated the Hop Web codebase, static resources, and integration tests.
Contributions:324 releases, 16 pushes, 9 branches in 3 years 6 months
hivekettlehadoop-hivecassandrabig-data
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