Insights & Architecture
Technical Writing
& Research
Open to Collaboration
I regularly publish new articles and papers here. Have a Machine Learning research idea or want to brainstorm architecture?
Why Linear Regression Minimizes Squared Error: A Probabilistic Explanation
Exploring the mathematical foundations of linear regression and diving deep into the probabilistic reasoning behind minimizing squared error.
The Hidden Machinery Behind Modern AI: A Deep Dive into Data Preprocessing for Data Streams
Analyzing the critical data preprocessing pipelines required for handling continuous, real-time data streams in modern AI architectures.
Structural Shift in Peak Power Demand — Delhi Grid (2020–2025)
A formal research paper (under review · ICIDEA) modeling peak-demand growth via a Heat×Humidity interaction term to capture a 'Cooling Trap' that standard load models miss. A RidgeCV regression on 12 years of grid data reaches R² 0.96 (train) / 0.93 (2024 hold-out) at RMSE 372 MW, quantifying nocturnal load divergence to motivate battery-storage deployment.