Building internal platforms and developer tooling at TD Bank. Passionate about full-stack systems, CI/CD infrastructure, and shipping ambitious products from zero to one.
A thread connecting internal platforms, developer experience, and ambitious product builds.
TD Bank
Co-op Rating: Outstanding
2025 – 2026, 2x terms
Metergy Solutions
Co-op Rating: Outstanding
2025, 2x terms
Queen's University
2024 – 2025, 2x termsFrom enterprise platforms to ambitious side projects, I obsess over shipping products with depth and polish.
A FastAPI application that filters and scores six internal pipeline types based on developer inputs—helping teams select the right CI/CD path across CADP, Fenix, EDP-XL, EDP-GT, and more.
Institutional-grade portfolio management platform for Limestone Capital, featuring full trade lifecycle, pitch infrastructure, and real-time analytics dashboards.
AI-powered structured decision engine with Monte Carlo simulation, multi-criteria scoring, and interactive scenario modeling for high-stakes choices.
Revenue leakage intelligence platform for B2B SaaS companies. Tracks churn risk, payment failures, and expansion opportunities across your customer base using ML scoring. Think "Datadog for revenue health."
AI meeting intelligence platform that captures, transcribes, and distills meetings into actionable summaries and follow-ups.
AI-powered legal matter management. Upload contracts and legal docs, and GPT-4o-mini auto-extracts parties, deadlines, obligations, and risk flags, then generates tasks and timelines. Includes semantic search across all documents.
Analytics and dynamic pricing engine for sports academies. Gives academy owners real revenue intelligence and an ML-powered pricing engine that suggests optimal prices based on fill rates, coach ratings, and seasonality. Includes a what-if simulator.
WPF desktop application for SE04 certificate management and meter inspection at Metergy, handling PDF generation, SharePoint integration, and Dataverse queries.
Essays and reflections on engineering, building, and what I'm learning along the way.
No referrals, no family hookups, no LinkedIn clout. Just 614 applications, a lot of rejection, and the stubbornness to keep going.
What actually happens when you try to build and ship a full-stack product in 48 hours. Spoiler: it involves a lot of coffee and questionable git commits.
How I went from writing for loops to reading 10-Ks, and what it took to go from pure engineering to understanding finance well enough to work at TD Securities.