Tadatoshi Takahashi is a research-focused software engineer and data scientist with 13 years of experience applying engineering optimization and data science to solar photovoltaic systems and renewable-energy projects. He blends deep domain knowledge from M.Eng. in Renewable Energy and an M.S. in Computer Science with hands-on software development across Python, Java, and Ruby to build modeling, optimization, and deployment tools for PV performance, microgrids, and energy storage. His work ranges from building REST APIs and Dockerized optimization services at national labs to running a nonprofit research lab investigating agrivoltaics using Bayesian modeling, pvlib, and Pyomo. He has practical experience in PV system sizing, IV characterization, MPPT power electronics, and translating structural standards into automated design calculations. Comfortable across research and production environments, he navigates numerical optimization, time-series analysis, and ML pipelines while also managing cloud deployments and embedded/Linux platforms. Notably, he combines manufacturing-level analytics for cell testing with system-scale optimization—bridging factory diagnostics to field performance improvements.
13 years of coding experience
18 years of employment as a software developer
UMass Lowell
Master of Engineering Energy Engineering - option Renewable Energy, Master of Engineering Energy Engineering - option Renewable Energy at Polytechnique Montréal
Contributions:21 commits, 9 pushes, 1 branch in 1 year 1 month
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Tadatoshi Takahashi - Research Engineer Data Scientist