About
I am an undergraduate student at the University of Toronto studying Computer Science and Mathematics (GPA: 3.99/4.00). My academic background spans deep learning, natural language processing, convex optimization, algorithms, databases, and operating systems.
I have gained industry experience as a Software Engineering Intern at Meta, Uber, and RBC, where I worked on backend systems, large-scale data pipelines, and production-grade machine learning infrastructure.
Previously, I conducted research at the Vector Institute with Prof. Rahul G. Krishnan and Prof. Roger Grosse, focusing on AI safety and model interpretability. My work on influence functions for detecting memorization in large language models led to a publication and contributions to open-source interpretability tools.
Documents
Below you can find links to my current resume and transcript. These documents provide an overview of my educational background, professional experiences, and academic achievements.
Photos
I am fortunate to have photos together with several AI pioneers, including Professor Geoffrey Hinton and Professor Fei-Fei Li. Their personal insights have inspired me to strive for impactful contributions in the field of AI and ML.
