Computer Science @ Langara College | Full-stack Software Engineer
Open to: Software engineering internships & new-grad roles (full-stack, backend, AI-adjacent product engineering)
I own products end-to-end — UI, APIs, data models, auth, automated tests, CI, and production deploys.
3 live applications on Vercel · 113+ automated tests · CI on every change.
ReviewLens — AI-powered review intelligence
Turned unstructured customer feedback into actionable, shareable reports, measured by a full production upload → analyze → export workflow with 51 passing unit tests and GitHub Actions CI, by building a Next.js/TypeScript application with OpenAI-driven theme and sentiment analysis, Prisma/PostgreSQL persistence, PDF/CSV export, and password-protected share links.
| Impact | Product teams get themes, sentiment, and an executive summary without manual review triage |
| Stack | Next.js · TypeScript · Prisma · PostgreSQL · OpenAI · Vitest · GitHub Actions · Vercel |
| Links | Website · Code |
AutoDev — autonomous codebase improvement agent
Automated the improve-and-ship loop for Python repositories, measured by a 5-phase async pipeline (clone → analyze → LLM refactor → validate → GitHub PR) with 5 safety gates, 4 static analysis tools, and 35 pytest tests, by engineering FastAPI + Celery workers on PostgreSQL/Redis, Claude-powered refactors with 3 retry attempts per issue, and a Next.js operations dashboard deployed across 6 services (Railway + Vercel).
| Impact | Paste a GitHub URL → static analysis and validated refactors → PR only if every safety gate passes |
| Stack | Python · FastAPI · Celery · Redis · PostgreSQL · Claude · Next.js · Docker · Railway · Vercel |
| Links | Website · API Docs · Code |
ProfessorMatch AI — hybrid RAG professor discovery
Improved search quality when exact keywords miss the intent, measured by a 3-stage retrieval pipeline (vector → semantic → keyword fallback) with 23 unit + 4 E2E tests and streaming LLM responses in production, by implementing Pinecone embeddings, Next.js APIs, authentication, and usage analytics.
| Impact | Students find relevant professors by meaning, not just name or department strings |
| Stack | Next.js · Node.js · Pinecone · OpenAI (GPT-4o-mini) · Playwright · Vitest · CI · Vercel |
| Links | Website · Code |
- Raised release confidence across 3 production apps, measured by 113+ automated tests and CI on every push, by writing unit, API, and E2E coverage around core user and pipeline flows.
- Shortened time-to-insight for review data, measured by one-click CSV upload → themed summary in a single session, by designing async analysis pipelines and persistent report storage.
- Prevented unsafe LLM output from shipping, measured by 5 validation gates blocking PRs unless syntax, lint, security, diff, and pytest checks pass, by treating model output as untrusted until structurally verified.
- Reduced irrelevant RAG answers, measured by layered fallback retrieval when vector search underperforms, by combining Pinecone similarity, semantic re-ranking, and keyword search.
- Kept long-running work off the request thread, measured by sub-second API responses while clone/analyze/refactor runs for minutes, by offloading pipelines to Celery workers with live task polling.
 TypeScript Typed web code |
 JavaScript Web interactivity |
 Python Scripts & data |
 Java Backend apps |
 C++ Performance |
 Next.js Full-stack web |
 React User interfaces |
 Node.js Server & APIs |
 PostgreSQL App database |
 AWS Cloud hosting |
 Vercel Live deploys |
 Git Code history |
 Terraform Cloud setup |
Also in my projects: Prisma · OpenAI API · SQLite · MUI · Tailwind CSS · Playwright · Vitest · GitHub Actions
