Stock Price Predictor
In this project, I attempt to combine my interests in ML and Finance in an attempt to predict the stock market.
My Background:
I am a Computer Science and Math student at McGill University and currently serve as the Software Lead for McGill Robotics AUV. In this role, I specialize in state estimation, Docker containerization, and computer vision algorithm design. My current interests lie in perception systems, developing robust multi-sensor fusion techniques and leveraging geometric and statistical models to enhance scene understanding, reduce uncertainty, and effectively handle occlusions in autonomous navigation.
Recent Work
LLM-Guided Occupant Inference in ALFWorld
Developed an LLM-guided exploration agent in ALFWorld using DSPy to infer a room’s occupant based on object attributes. Combined naive and advanced strategies with memory and reasoning to minimize steps and generalize across environments.
Kiwi - An Allergy Friendly Chrome Extension
Developed Kiwi, an allergy-friendly Chrome extension that dynamically filters and highlights allergenic ingredients on Walmart’s website.
AI vs Real
Conducted an in-depth analysis of distinguishing features between AI-generated and real images, examining contour properties, structural patterns, and frequency characteristics to reveal synthetic artifacts and enhance AI detection methods through statistical and visual analysis.
Titanic Kaggle Competition
Lorem ipsum dolor sit amet nisl sed nullam feugiat.
Risus ornare lacinia
Lorem ipsum dolor sit amet nisl sed nullam feugiat.
Get In Touch
Accumsan pellentesque commodo blandit enim arcu non at amet id arcu magna. Accumsan orci faucibus id eu lorem semper nunc nisi lorem vulputate lorem neque lorem ipsum dolor.