Brown
About
I'm a Toronto-based developer with a passion for building systems that are fast, secure, and maintainable. I’m strongest in backend development, designing APIs, modeling data, and handling auth. I’m comfortable taking a feature all the way from the database to a deployed, user-facing product. I take pride in owning features end-to-end, and I bring the same rigour to side projects as I do to professional work.
Outside of code, I’ve spent years teaching 120+ students programming and AI concepts, which sharpened how I communicate ideas and give feedback that actually helps.
University of Western Ontario, ’23
Open to Canada & U.S. opportunities
Turning ideas into real working projects
Auth & security, Distributed systems
Technical Skills
Projects
A full-stack job application tracker I designed and built to replace the random files and spreadsheets that break down the moment your search gets serious. Auto-extract details from a job posting to create a record, attach a tailored resume and relevant documents, manage your contacts and connections. Then let AI do the heavy lifting: evaluate your fit for a role, suggest resume improvements, generate a custom cover letter, and even help you prep for the interview. Everything you need to not just manage your job search, but actually make real progress on it.
- Built by someone who actually needed it — designed around how a real job search works
- Free to get started with AI credits included on signup
An Agentic DevOps control plane that turns a PRD into a validated architecture pack and an execution plan — with a human stop-line before writing to GitHub. We designed and built the system to explore how LLMs can be used to automate software architecture and scaffolding, while ensuring that human oversight and security controls are in place to prevent unsafe code generation and execution. Guardrails, observability, and audit trails keep velocity high without sacrificing uptime or governance.
- Artifact-first orchestration: deterministic run state + named artifacts for review, reproducibility, and auditability.
- Workflow-run agents: planner → decomposition → approval → GitHub sync executed via Actions with clear status visibility.
- Governance by design: explicit approval gate before repo writes + token/cost observability to prevent runaway execution.
An IMDb-style movie discovery platform built to practice production-style backend architecture: independent services with clear boundaries that communicate cleanly and deploy independently.
- Service discovery via Eureka; stateless JWT auth; each service independently deployable
- PostgreSQL index tuning via EXPLAIN ANALYZE lifted throughput from ~200 → ~550 req/s at 20 concurrent users
- Containerized with Docker; GitHub Actions CI builds & pushes images on every merge; deployed on AWS EC2