Hi, I'm Sagar Udasi. 👋

I work in Artificial Intelligence and Machine Learning space, building systems grounded in mathematics, statistics, machine learning, and software engineering. I care less about models in isolation and more about building something that holds up when put in the real world.

I entered this space by accident in 2019, after overhearing two researchers argue about an NLP problem at Samsung. From there, curiosity carried me forward. That detour took me from applied research on Alexa’s NLU systems at Amazon to consulting roles where I built AI systems for companies like Puma and AB InBev.

For the past four years, I have been working with the startups in the education space. I certainly believe that education has not kept up with the technological progress and there is a serious need for an update.

I grew up in a small town near Mumbai, called Ulhasnagar.

During my childhood, I took the saying "all work and no play makes jack a dull boy", a bit too literally. I was probably the most mischievous kid in my school. So much so that I used to get reliably suspended at least once every year! 🙂

But still somehow, I remained good at studies. The paradox peaked in 2015, when the same student who spent years in trouble finished first in the Mumbai division with 95.60%.

I wanted to become a doctor, but one of my teachers convinced me to pursue engineering. It was a leap of faith, one I don’t regret today.

On August 02, 2017, I joined Veermata Jijabai Technological Institute (VJTI) to study Electronics and Communication Engineering (ECE).

In India, the branch often matters less than where you eventually end up, and most roads quietly lead to software. So I studied electronics during the day and spent the rest of my time teaching myself things I suspected would matter later: robotics, computer science, software development, blockchain, ML, AI, and whatever else caught my attention.

Somewhere along the way, the movie 3 Idiots nudged me toward building things instead of just being good at exams. I didn’t have a clear plan, only curiosity, and in retrospect, that turned out to be the one trait that carried me through engineering.

When I left college, I had a quiet sense that I’d only just begun learning. Many of the subjects that interested me most: machine learning or artificial intelligence, came late in the curriculum; the early years were mostly spent building foundations. That feeling sharpened once I started working. I was surrounded by people who were clearly sharper, deeper, and more fluent in their domains, and it made the gap obvious. I wanted time to close it.

So I stepped away for a year and enrolled in the Statistics with Data Science program at the University of Edinburgh. Statistics felt like the right core: both because of the university’s strength in the field and its lineage, going back to Thomas Bayes. I took a lot of Finance courses to gain the domain specialization!

I am now working with Tetr College of Business building the AI program while helping students and teams build real businesses. It sits at the intersection of everything I care about: education, startups, business, and AI.

It feels like the kind of work I’d been unconsciously preparing for over a long time. For now, this is where the threads come together!

Finally, I welcome you to my digital space. Feel free to explore!