At Atos, I took over Google’s Grid Intelligence from Google DeepMind, rebuilt it from scratch, and led it into production in April 2022. The autonomous day-ahead renewable-energy trading platform has delivered 30%+ annualized revenue uplift against a pre-registered baseline.
I built its decision engine, combining combinatorial optimization with a reinforcement learning policy, and designed the forecasting and quantitative analysis stack. I also developed long-term electricity price and load forecasting models using scenario generation and Monte Carlo simulation.
As Senior Manager in the Atos AI Practice, I lead a team of ML/AI engineers and data scientists across enterprise accounts. I lead generative and agentic AI work, and built LLM testing, evaluation, and fine-tuning frameworks for commodity-trading use cases at Freepoint Commodities.
Earlier, at Ensight Energy Solutions, I led engineering of an ML-powered energy optimization platform that delivered $60M+ in measured customer cost savings. My work also includes demand forecasting and predictive maintenance, and I hold a PhD in Chemical Engineering with 30+ peer-reviewed publications.
