I’m a machine learning student, and I like the parts people usually skip: where a signal actually comes from, why an eval is flattering itself, and what a memory system forgot on the way. I’m in the final year of a B.Tech in AI and ML.
Lately that has meant language models, multi-agent systems, and evaluation. I’m VP at Deviators Club, where I run workshops and spend time on women in STEM. On Kaggle I’m a Notebooks Expert — flexing quietly, panicking loudly.
I write the experiments down as I go, and the code lives on GitHub. It usually works. When it doesn’t, it teaches me more than a lecture does.
Away from the tab I’m reading, scribbling about ordinary life, or folding paper cranes. Sometimes the quietest corners hold the silliest surprises.