Engineer. Researcher. Pattern Hunter.

I'm a software engineer with a deep passion for coding and AI Research. I also have a habit of finding patterns in everything - in data, in history, in human behavior, and yes, in the way coffee tastes slightly different every morning.

Much of my time outside work is spent reading - philosophy, history, and polity. I'm drawn to the big questions: how civilizations rise and fall, how ideas shape societies, and why we think the way we do. These interests naturally led me to history at large - old texts, monuments, artifacts, and the centuries of evolution that shaped the rich, diverse culture of our country. Understanding that journey is something I take genuine pride in.

I also play guitar and sing along, I try my level best to make it sound like music. I also dance my hearts out on bollywood chartbusters

Like most Indians, cricket is sacred to me. I follow every match and enjoy breaking down the strategy behind every session. If over-analyzing cricket were a discipline, I'd probably publish papers on it.

Over the past few years, I've immersed myself in machine learning and deep learning - from learning models to the computational mathematics that powers them. The deeper I go, the clearer it becomes that AI is as much a mystery as it is a science. That realization is partly what drives me to write - to cut through the jargon and make the complex foundations of machine learning truly accessible. Someone has to translate "stochastic gradient descent" into human, and I've volunteered.

I write mostly about machine learning and data science, and occasionally about history and polity. You'll find my blogs linked on this site.

When I'm not writing code or writing about it, I'm probably staring at the night sky - quietly humbled by how much we've yet to understand, and mildly frustrated that the universe refuses to show its source code.

Find me on GitHub, Twitter, and LinkedIn - I'm always open to collaboration, conversation, and good ideas.