About
I am an undergraduate student at the University of Toronto pursuing an Honours Bachelor of Science in Computer Science and Mathematics (GPA: 3.99/4.00). My studies focus on machine learning and software design.
I have gained industry experience as a Software Engineering Intern at Meta, Uber, and RBC, where I worked on working on AI/ML platforms, real-time data pipelines, and scalable backend systems.
My research interests lie at the intersection of machine learning and causal inference. Previously, I conducted research at the Vector Institute with Prof. Rahul G. Krishnan and Prof. Roger Grosse. I helped to develop CausalPFN, a pre-trained transformer network for estimating treatment effects without task-specific retraining. This work involved comprehensive evaluation across state-of-the-art causal inference models and resulted in a paper accepted to NeurIPS 2025 as a spotlight.
Publication
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.
