About Me

This is me at the visapur fort, 2024.

I am a machine learning undergrad. I can build and learn almost anything given enough time. When I’m not working at my job, I spend most of my time on side projects, exploring new machine learning concepts, playing music, or reading about random things.

current interest

• Optimizing Inference for LLMs
• Experimenting with training tiny little models
• Exploring Diffusion Models for Furniture Generation in Virtual Staging

how i got into ml

I came across coding around 2016, and since then, I’ve been very enthusiastic about it. In 2019, I started learning just for fun. I used to play around with Scratch, Python, C++, and HTML. I’ve always wanted to get into research, so I figured I’d aim for a master’s or PhD. That led me to start looking into what I should learn to get into a good postgraduate program at a good university. In 2020, I came across machine learning and it instantly fascinated me. It was (and still is) incredibly exciting to see machines learning patterns, doing math, and making sense of data. I started playing around with YOLO for object detection and built a project to detect number plates on cars. Then, in late 2021, I began learning machine learning more seriously. Back then, I was experimenting with tabular data using XGBoost and diving into the math behind the concepts. Since the launch of ChatGPT and DALL·E, I’ve gotten deeply into deep learning.