Work conducted at the University of Toronto
Reperium is an AI-powered university portal that helps students quickly find courses, jobs, and research opportunities by chatting with a chatbot, saving them from sorting through hundreds of irrelevant postings. For this project, I led the front-end development using Next.js, TypeScript, and Tailwind CSS, focusing on creating a responsive, intuitive interface that works seamlessly across devices. To power the platform’s data needs, I developed a Python web scraping pipeline that automatically extracts, cleans, and structures over 10,000 data points from multiple university sources into a PostgreSQL database, ensuring that users have access to accurate, up-to-date opportunities.
Haladay is a full-stack, all-in-one LMS CRUD system. Built using Dart and Flutter for the web app and Java (JavaFX) for the desktop program, it provides seamless, cross-platform functionality integrating Firebase and Google Cloud functions.
Parrot is a front-end for speech-to-text, text-to-speech, and realtime OpenAI models.
A versatile C++ utility for copying files and directories with support for in-memory operations, streaming, CRC32 hashing, PSARC archive handling, multi-threading, and multi-destination transfers. Badger is primarily intended for transferring from a high-speed, external, source, to a lower-speed destination ensuring copy in the event the source drive is disconnected.
Capper, S.
Review Article
2024Capper, S.
Research Paper
2022