A honest self-reflection on six years of ML work, from leading AI teams in Tamil Nadu startups to current Columbia studies. Why we shouldn't nullify our accumulated experience and how to build research credibility while staying true to our interdisciplinary nature. Sometimes you need to have a conversation with yourself about what you've actually accomplished. (transcribed)
Starting our MS journey in Fall 2025 - what it means and how to make the most of it (transcribed)
A critical look at why correlation isn't as misleading as some argue, illustrated with real-life data science examples. (transcribed)
*Reflections on simulating human behavior, understanding student personas, and the evolving landscape of social intelligence* (transcribed)
It's been nearly two weeks since I started my master's program, and I find myself reflecting on something that's become increasingly clear to me: how we should actually learn things, and more importantly, how to tame the mindset that often works against deep understanding.
How was my first week at columbia and the rigour of Courseworks.. (transcribed)