About Me

Current Role

At Google, I work on Backend Engineering, Distributed Systems, and AI. I lead and engineer customer-facing products under Cloud Security.

Teaching & AI Education

I have had the privilege of teaching Machine Learning to fellow Googlers in an offline co-hort. To further my contributions in AI, I teach Applied AI (Machine Learning, Deep Learning, and Language Models) at LexAI, where I help professionals navigate the rapidly evolving AI landscape.

Consulting & Advisory

Beyond my full-time roles, I advise and consult with startups across tech and AI. I help them navigate the complex landscape of modern AI and technology.

Educational Impact

I've taught Distributed Systems and System Design at prominent ed-tech companies. I regularly help them design comprehensive AI & ML curricula covering everything from foundational ML to cutting-edge Transformers and modern AI engineering practices for top-tier offline college programs.

Previous Experience

At MathWorks, I focused on Backend Engineering, Distributed Systems, and advanced ML/DL implementations. My work involved solving complex problems in Self-Driving Cars, Motion Planning of autonomous vehicles, and Speech Recognition.

During my time at MathWorks, I also ran a Deep Learning Book Club, fostering a community of learning and knowledge sharing among engineers and researchers.

Writing & Thought Leadership

I write and share my thoughts on AI and technology at AI Seekhega India. My writing focuses on making complex technical concepts accessible to a wider audience.

Beyond Technology

Apart from Engineering and AI, I am deeply interested in Capital Markets, Equity Research, and Quantitative Finance. This diverse interest helps me bring unique perspectives to my technical work.

A Funny Anecdote

Back in my engineering days, I had this face-to-face viva, and of course, I was ready to ace it. Then, the external invigilator went through my code written on a piece of paper, who was a professor from a well-known state university and he started grilling me about something I thought was simple. He looked at my code, thought for a bit, and asked, "Boy, why have you used `a==b` here and `a=b` elsewhere? Whats the difference?" Now, mind you, I didn't know shit about coding at the time and I cheated on the test. I was just riding on my over-the-top confidence. So, I replied, "Oh, that? No problem. I must've accidentally added an extra equals sign in a==b. Let me just strike it off. It's no big deal." And that, my friends, was my peak moment of coding brilliance. Clearly, I was a pro. I always wanted to go into management, do an MBA, be a product guy. After my internship in data analytics at Bharti Airtel, I was advised by one of Airtel's Global Head that it is "ALGORITHMS" that are going to power products and marketing of tomorrow.

"ALGORITHMS are going to power products and marketing of tomorrow. You should get into an area where you get to learn Algorithms, Programming, Machine Learning and AI rather than learn management techniques or digital marketing."

This advice changed my career trajectory. During my internship, I realized that Computer Science and technology was the way forward for me. From there, I started to learn coding and never looked back.

Let's Connect

I'm always interested in connecting with fellow builders, thinkers, and curious minds. Whether you're interested in collaboration, have questions about my work, or just want to chat about technology, feel free to reach out.