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Hiromu Hota
Title: Machine Learning Engineer
Company: Snorkel AI
Bio
Hiromu Hota is a Staff Engineer at Snorkel AI, where he brings extensive expertise in applied machine learning as the Tech Lead Manager and Lead Machine Learning Engineer. Prior to Snorkel AI, he held roles as a Senior Researcher and Researcher at Hitachi, focusing on advanced research and development. Hiromu also serves as a Visiting Scholar at Stanford University’s School of Engineering, where he contributes to academic advancements in computational science and engineering.
With a background that includes software engineering at Hitachi Data Systems and internships, Hiromu holds a Ph.D. in Computational Science and Engineering and a Master of Engineering from Nagoya University, underscoring his deep technical knowledge and academic achievements.
Connect with Hiromu to discuss machine learning, computational science, or collaborative opportunities in applied research and engineering.
The latest from
Hiromu Hota
How Snorkel Flow users can register custom models to Databricks
The Databricks Model Registry integration equips Snorkel Flow users to automatically register custom, use case-specific models.
How to import Databricks data into Snorkel Flow
Databricks customers can access their data seamlessly within the Snorkel Flow platform with a few clicks with the new Databricks connector.
See how snorkel can help you get up to:
100x
Faster Data Curation
40x
Faster Model Delivery
99%
Model Accuracy