I didn’t start teaching because I had it all figured out. I started because I remember exactly what it felt like to not understand anything, and pretend that I did. Back in 2013, I was in India trying to break into machine learning, rereading the same research papers over and over, highlighting sentences I didn’t fully understand, Googling terms mid-paragraph and somehow ending up more confused than when I started. There were barely any resources back then. ML felt like it was built for people who already knew ML. Andrew Ng’s course was one of the first things that actually made things click for me. And once they clicked, I couldn’t stop. I wanted to learn everything. And then I wanted to share everything. That’s the thing about teaching, it forces you to actually understand what you’re talking about. You can’t fake your way through it. Years of learning, building, and sharing eventually led to me becoming a LinkedIn Top Voice in Data and AI. On the same list as Andrew Ng. That st...