NeuronDesk
AI project-management platform that cut PM overhead 60% — Gemini API wired into a React front end over a Node/Express + PostgreSQL core with live ticketing.
- React
- Node
- Socket.io
- PostgreSQL
- Gemini
Software Engineer / Quantitative Developer / Machine Learning
From the trading floors of a $4 billion pension fund to the storage backbone of Amazon, I work where systems carry real weight. I've triaged 200,000+ vulnerabilities across thousands of servers, engineered statistical-arbitrage models clearing a Sharpe above 1.5, and shipped AI platforms that gave teams their hours back.
My work spans quantitative finance, machine learning, DevOps and full-stack engineering — and I operate best at the seams where they meet. I treat every system the same way: understand it, automate it, harden it, then leave it stronger than I found it.
SDE Intern · Incoming
Joining the S3 Cloud Storage & Infrastructure team — the storage layer the internet runs on.
Junior AI Software Engineer
Triaged 200K+ vulnerabilities across 3,000 servers, 8,000 patch pipelines & 300+ apps — hardening Linux & Windows fleets.
Quantitative Developer
Python analytics & automated reporting for the Funding, Liquidity & Trading desk across a $4B+ portfolio.
DevOps & Backend Developer
Built 10+ automations across JAMS, Azure DevOps & Graph APIs — eliminating 240 hours of manual work every month.
Full-Stack Developer
Authored 200+ E2E, integration & regression tests across 10 financial apps with Cypress, Selenium & Postman.
Quantitative Researcher
Built a backtesting framework & an RNN/LSTM stat-arb model on cointegrated pairs — Sharpe above 1.5.
AI project-management platform that cut PM overhead 60% — Gemini API wired into a React front end over a Node/Express + PostgreSQL core with live ticketing.
Counter-UAS vision pipeline on DJI's Cloud API — detector, tracker & action models with LLMs for real-time detection, tracking & behavior classification.
Multi-asset technical-analysis engine generating signals across many equities at once — built to surface edge cases and stress-test models before they touch the market.
Realtime kanban platform with card tagging, live editing & a clean session model — a personal command center for shipping work without heavyweight tooling.
B.Sc. — Data Science, Computer Science & Statistical Machine Learning
Toronto, ON · Class of 2027Open to high-impact engineering, quant & ML roles. The fastest way to reach me is email.