Electrical Engineering @ IIEST Shibpur (EE ’28)
Control Systems • Computational Modeling • Reinforcement Learning • Quantitative Systems
I build simulation-driven systems at the intersection of:
- Control theory
- Machine learning
- Physiological system modeling
- Reinforcement learning
- Quantitative finance
My work focuses on understanding and engineering complex dynamic systems — from artificial pancreas models and power grids to learning agents and markets.
Elegance in thought. Precision in code. Depth in understanding.
- Glucose–insulin system modeling & control
- Artificial pancreas simulation frameworks
- System identification & physiological dynamics
- RL for closed-loop decision systems
- Simulation-first engineering
- betalab — research framework for glucose–insulin modeling and experimentation
- GlySimLab — physiological control systems research platform
- Project-Endocrine — artificial pancreas simulator with adaptive control + RL
- power-grid-analysis — simulation & optimization tools for electrical networks
- control-systems-visualizer — interactive dynamic system analysis
- stock-alpha-beta-app — Monte Carlo portfolio risk exploration
Python • MATLAB • C++
Control Systems • Numerical Simulation • RL • Scientific Computing
