Hotaka Shiokawa
Senior Data Scientist
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolHotaka Shiokawa is a Senior Data Scientist in Cambridge, MA with nine years of experience applying machine learning and NLP to high-impact domains from astrophysics to finance. He has a PhD in Astrophysics and decades-long hands-on expertise building simulation and data pipelines for projects like the Event Horizon Telescope, then translated that rigor into industry work on large-scale e-commerce classification and financial-domain LLM tooling. At Rakuten he developed a novel deep-learning architecture for 10,000+ class product classification (patent-pending) and deployed it into production catalogs; at Fidelity he focuses on LLM-driven document processing and topic modeling for financial data. His open-source contributions include data-engineering tools for VLBI imaging and VEX file processing, reflecting a rare combination of scientific computing and production ML engineering. Colleagues describe him as someone who turns complex, noisy signals into reliable pipelines and models, whether analyzing black hole plasma flows or extracting structure from financial text.
9 years of coding experience
12 years of employment as a software developer
The University of ArizonaUniversity of Illinois Urbana-Champaign
Github Skills (5)
data-pipeline10
data-pipelines10
python10
data-analysis10
numpy9
Programming languages (1)
Github contributions (5)
achael/eht-imaging
Mar 2017 - Aug 2017
Imaging, analysis, and simulation software for radio interferometry
Role in this project:
Data Engineer
Data EngineerContributions:9 commits, 4 pushes in 5 months
Contributions summary:Hotaka appears to be focused on creating tools and infrastructure for processing and analyzing Very Long Baseline Interferometry (VLBI) data. They added and modified scripts related to reading and processing VEX files, a format used to describe VLBI observing schedules. The user's changes include creating a more generalized VEX file reader and a system for storing time curves of closure quantities, which are critical for data analysis. These contributions suggest a role focused on data pipeline development and analysis within the context of radio interferometry.
pythonanalysissimulationimaginginterferometry
hshiokawa/walker_identifier
Oct 2017 - Feb 2018
Contributions:35 pushes, 1 branch in 4 months
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