The Engineering and Research team at Gridmatic leverages advanced AI and machine learning to develop cutting-edge algorithms and optimization models that enhance the efficiency and reliability of clean energy markets. This team of researchers, data scientists, and engineers works collaboratively to create innovative solutions for power trading, energy forecasting, and grid reliability, ultimately driving the growth and sustainability of renewable energy sources.
Austin Park
Machine Learning Engineer
Dylan Larrabee
Software Engineer
Jamie Ray
Research Scientist
Jk Hunt
Machine Learning Engineer
Kevin Qi
Engineering Manager
Logan Spear
AI Researcher
Lucas Orts
Machine Learning Engineer
Mark Waylonis
Software Engineer
Marshall Miller
Software Engineer
Mia Nakajima
Data Scientist
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