Projects

GooseDoor

ReactTypeScriptViteshadcn/uiTailwind CSSSupabasePostgreSQL

Wanted to solve the painful process of co-op hunting: constantly switching between fragmented Excel sheets, Reddit threads, and word-of-mouth just to piece together company info, salary ranges, and red flags.
Built a full-stack platform using React, TypeScript, Vite, Tailwind, and shadcn/ui with modular components and responsive design; scaled to 150+ log-ins, 15,000+ visitors and 220,000+ social impressions.
Expanded from Waterloo-only to 350+ supported colleges with automatic college detection and secure sign-up restricted to .edu, .uwaterloo.ca, and .ca domains; users from 30+ unique institutions.
Engineered Supabase backend (PostgreSQL + Edge Functions) with RLS policies, encrypted authentication, and anonymous offer submissions.
Designed normalized data models and API endpoints enabling fast filtering by company, role, college, and work term, while maintaining extensibility for future recruiter dashboards and offer comparison tools.
Implemented real-time analytics with aggregated queries and built verified job posting pages showing salary trends, company reviews, and college-specific participation.

ReactTailwind CSSFastAPITesseract OCRFirebase

Created a personal finance web app that extracts and categorizes expenses from uploaded receipts using OCR (Tesseract) and NLP classification models.
Engineered a full-stack solution with React front-end and FastAPI backend, supporting user authentication, persistent storage, and data visualization dashboards.
Automated transaction categorization into spending buckets (food, transport, utilities, discretionary) with > 90% accuracy on test receipts.
Integrated interactive analytics (Recharts/Chart.js) for monthly summaries, trend lines, and budget tracking, improving user insight into spending habits.

ReactTypeScriptTailwind CSSChrome Extension API

Built Decay, a Chrome extension that tracks open tabs over time and visualizes inactivity using a heatmap-based UI to help users identify and close stale or forgotten tabs.
Implemented a coldness scoring algorithm (0–100) to rank stale tabs using a weighted decay model: Coldness Score = IdleScore + AgeScore + VisitScore, where IdleScore = min(100, (idleMinutes / 120) * 60) and additional components factor in how long the tab has existed and how frequently it has been revisited.
Implemented a feature set including soft-closing through a "Cold Tray," custom decay thresholds, protected domains/URLs, pinned tab immunity, and timeline-based tab aging insights, all configurable in a React + TypeScript settings dashboard with persistent local storage.

Projects

ReactTypeScriptViteshadcn/uiTailwind CSSSupabasePostgreSQL

Wanted to solve the painful process of co-op hunting: constantly switching between fragmented Excel sheets, Reddit threads, and word-of-mouth just to piece together company info, salary ranges, and red flags.
Built a full-stack platform using React, TypeScript, Vite, Tailwind, and shadcn/ui with modular components and responsive design; scaled to 150+ log-ins, 15,000+ visitors and 220,000+ social impressions.
Expanded from Waterloo-only to 350+ supported colleges with automatic college detection and secure sign-up restricted to .edu, .uwaterloo.ca, and .ca domains; users from 30+ unique institutions.
Engineered Supabase backend (PostgreSQL + Edge Functions) with RLS policies, encrypted authentication, and anonymous offer submissions.
Designed normalized data models and API endpoints enabling fast filtering by company, role, college, and work term, while maintaining extensibility for future recruiter dashboards and offer comparison tools.
Implemented real-time analytics with aggregated queries and built verified job posting pages showing salary trends, company reviews, and college-specific participation.

ReactTailwind CSSFastAPITesseract OCRFirebase

Created a personal finance web app that extracts and categorizes expenses from uploaded receipts using OCR (Tesseract) and NLP classification models.
Engineered a full-stack solution with React front-end and FastAPI backend, supporting user authentication, persistent storage, and data visualization dashboards.
Automated transaction categorization into spending buckets (food, transport, utilities, discretionary) with > 90% accuracy on test receipts.
Integrated interactive analytics (Recharts/Chart.js) for monthly summaries, trend lines, and budget tracking, improving user insight into spending habits.

ReactTypeScriptTailwind CSSChrome Extension API

Built Decay, a Chrome extension that tracks open tabs over time and visualizes inactivity using a heatmap-based UI to help users identify and close stale or forgotten tabs.
Implemented a coldness scoring algorithm (0–100) to rank stale tabs using a weighted decay model: Coldness Score = IdleScore + AgeScore + VisitScore, where IdleScore = min(100, (idleMinutes / 120) * 60) and additional components factor in how long the tab has existed and how frequently it has been revisited.
Implemented a feature set including soft-closing through a "Cold Tray," custom decay thresholds, protected domains/URLs, pinned tab immunity, and timeline-based tab aging insights, all configurable in a React + TypeScript settings dashboard with persistent local storage.