Hiromu Hota

Hiromu Hota

Staff Engineer @ Snorkel AI

About Hiromu Hota

Hiromu Hota is a Staff Engineer at Snorkel AI, with a background in machine learning and software engineering. He has held various roles at Snorkel AI and Hitachi, and has contributed to open-source projects in the fields of MLSys and MLOps.

Work at Snorkel AI

Hiromu Hota currently serves as a Staff Engineer at Snorkel AI, a position he has held since 2024. Prior to this role, he worked as a Tech Lead Manager in Applied Machine Learning for 11 months in 2023. Hota's tenure at Snorkel AI began with his role as a Machine Learning Engineer from 2020 to 2021, followed by a promotion to Lead Machine Learning Engineer, where he worked for two years until 2023. His work at Snorkel AI has been primarily based in Redwood City, California.

Education and Expertise

Hiromu Hota holds a Doctor of Philosophy (PhD) in Computational Science and Engineering from Nagoya University, where he studied from 2009 to 2012. He also earned a Master of Engineering (M.Eng.) in the same field from Nagoya University from 2007 to 2009. Additionally, he studied at Monash University for 11 months in 2008. Hota possesses expertise in software engineering and machine learning systems, which he has applied throughout his career.

Background

Before joining Snorkel AI, Hiromu Hota worked at Hitachi in various capacities. He served as a Senior Researcher for six months in 2020 and as a Researcher from 2012 to 2016 in Yokohama, Japan. He also held a position as a Software Engineer at Hitachi Data Systems for seven months in 2014-2015 and completed an internship there in 2013. His experience includes a two-year role as a Visiting Scholar at Stanford University School of Engineering from 2018 to 2020.

Contributions to Open Source and Community Engagement

Hiromu Hota actively contributes to open-source projects in the fields of Machine Learning Systems (MLSys) and Machine Learning Operations (MLOps). His engagement in community contributions through open-source software development reflects his commitment to advancing the field and sharing knowledge with peers.

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