About Me
This is me at the visapur fort, 2024.
I am a machine learning graduate. 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 Interests
- 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.