At Solvra.AI, I’m developing AI-based decentralized renewable energy hubs that combine solar PV, battery storage, and smart load coordination. I’m building Deep Reinforcement Learning models in Python for predictive control and optimization of distributed energy systems.
At LIT Open Innovation Center, Linz, I design simulation environments to analyze energy demand, storage behavior, and system flexibility. I work with real and synthetic time-series datasets to validate models and support data-driven decisions for low-carbon energy operation.
At Fahrtech, I designed hybrid PV-battery systems for urban renewable charging infrastructure and developed digital models to analyze performance under changing climatic and usage conditions. I also supported smart battery management integration and contributed to scaling off-grid solutions for mobility.
At EnergyBartarRooztabesh, I designed and implemented commercial and residential photovoltaic systems, conducted performance simulations and system sizing, and performed energy-yield assessments and optimization studies. My work builds on a background in renewable energy systems and electrical engineering.
