A cross-disciplinary approach
My work sits at the boundary between physical power-system models and data-driven intelligence. I develop methods for renewable-rich grids, microgrids, intelligent control, forecasting, optimization and cyber-physical resilience.
The broader objective is practical: translate rigorous engineering models into tools that help researchers, utilities and infrastructure planners make better decisions.

Research interests
Power systems · Renewable energy · AI/ML · Microgrids · Grid stability · Forecasting · Optimization · Cyber-physical resilience
Academic & research journey
Open Source Research Contributor — PowerMCP
- Agent-based intelligent power-system modeling and AI-assisted decision support.
- Validation, testing and reproducibility for scalable simulation workflows.
Postdoctoral Researcher
- Techno-economic modeling and reliability assessment for energy infrastructure.
- Scenario-based planning integrating engineering, economic and regulatory constraints.
Business Development Manager — Renewable Energy
Teaching Assistant
Academic foundations
Electrical Engineering
Sharda University · 2025
Intelligent control and AI-assisted optimization of grid-connected PV systems.
Power Systems
J. C. Bose University of Science and Technology · 2020
Electrical & Renewable Energy
Baba Ghulam Shah Badshah University · 2015