I work as a Machine learning research engineer at Samsung AI centre - Toronto. My recent experience involved extensively working with LLMs and AI agents. I worked on parameter efficient fine-tuning Llama3 using LoRA, as well as experience with prompt engineering for dataset creation. I have also worked on scripting torch models for inference on device, as well as worked with Quantization of LLMs for efficient inference. I am currently interested in exploring new opportunities in the domain of Generative AI, specifically AI agents. Feel free to reach out to me either on email or twitter for any collaboration or new opportunities.
Before that I was a research masters student at MILA, University of Montreal, under supervision of Professor Liam Paull, where I mainly worked on Probabilistic object detection. I worked on trustworthy uncertainty estimation for my thesis, which got accepted to ICRA 2022. I also worked on identifying flaws of existing set of probabilistic object detectors, which got published as a position paper at ICML 2020. Before coming to MILA, I did MS in Robotics with Prof Madhav Krishna, and worked on many things including self driving cars and autonomous drones.
When I am not working, I am either brainstorming new ideas with ChatGPT or watching some political documentary. 😉 I have recently discovered my love for AI assisted coding, and stock markets. I do options trading on the side. During weekends, I am either coding using Cursor, or doing technical analysis on trading view, or bowling with some friends.
🎨 Fun Fact
The profile picture you see on this website is not a real photograph! I fine-tuned Flux1-dev on just 17 images of myself and generated this image. Curious about the process? Check out the details here.