Labs
A collection of problems I’ve explored, systems I’ve built, and ideas I’ve changed my mind about.
I Built a Route Optimization System. The Algorithm Wasn’t the Hard Part.
Designing a vehicle routing system for Used Cooking Oil collection to supply Sustainable Aviation Fuel feedstock across Indian metros.
Can a Digital Twin Actually Help Design an EV Battery-Swapping Network?
Building a digital twin of an EV battery-swapping network to simulate wait times, stress-test outages, and optimize station placement.
Forecasting Electricity Demand When the Future Doesn’t Look Like the Past
Using STL decomposition, PACF lag features, and Random Forest on detrended demand profiles for long-term regional power grid planning.
A Forecast Is Only Useful If You Know What the System Is
Why most infrastructure forecasting failures are system-definition problems, not data or machine learning problems.
Forecasting a Region Is Different From Forecasting a Time Series
Why regional energy forecasting is a system-boundary problem before it becomes a machine learning problem.
When Does Sustainability Actually Make Business Sense?
An operational case study on identifying hidden industrial energy inefficiencies across 390 high-power motors at ITC Bhadrachalam.