Microgrid AI-Controller - ML/AI

Internship in Grenoble France at G2ELab, successfully built a CNN using timeseries to train an AI-controller meant to protect microgrids from surges and outages. Worked with SME and presented to leadership and board near end of internship.

Key Points:
• Rapidly prototyped ML models by researching time-series forecasting to protect microgrids; Successfully presented product demonstration to G2ELab leadership & team; product still actively used

• Transformed over 17000+ raw data in a CNN algorithm, to make critical predictions up to 99% accuracy