University of Toronto Computer Science Student
Building intelligent developer tools
I build software across the stack-from low-level systems programming and performance-focused C++ projects to AI-powered developer tools and modern web applications.
Software Engineer | Systems Programmer | Full-Stack Developer
About
I am a Computer Science student at the University of Toronto pursuing a minor in Statistics.
My interests span systems programming, software engineering, machine learning, developer tools, and full-stack product development.
I enjoy understanding software at multiple layers of abstraction-from memory management, operating systems, and compiler concepts to distributed AI systems and modern web applications.
Featured Projects
A project portfolio centered on technical depth: repository intelligence, modern C++, assembly-level games, real-time applications, graph tooling, and applied machine learning.
AI-powered repository analysis platform that indexes GitHub repositories and enables semantic code search, architecture understanding, and repository-aware chat through retrieval-augmented generation.
Machine learning framework implemented entirely from scratch using modern C++.
Low-level systems engineering
Complete recreation of Dr. Mario built entirely in MIPS Assembly.
GeoGuessr-inspired multiplayer game centered around University of Toronto locations.
Course recommendation and planning platform for University of Toronto students.
Meta-model predicting which conflict prediction models perform best using country-level indicators.
Experience
A focused timeline of leadership, product work, and production-facing software development.
University of Toronto Scientific Research Initiative (UTSRI)
September 2024 - April 2026
Coubon
September 2024 - November 2024
Skills
Grouped by the areas I work in most: low-level engineering, machine learning, backend platforms, frontend interfaces, tooling, and rigorous CS coursework.