As a Software Developer in Test (SDET), I owned quality across the full development lifecycle for a large-scale enterprise application serving citizens and caseworkers across Ontario. I built and maintained automated UI and API test frameworks using Java with Selenium WebDriver and Oracle SQL wired into Jenkins and GitHub Actions pipelines. By aligning with product owners on acceptance criteria before development began and delivering data-driven quality reports each sprint, I helped the team catch high-risk issues early on and keep releases on schedule across a large cross-functional organization.

As an Ignite TV Tech Support Specialist at Rogers Communications, I handled advanced troubleshooting for complex telecommunications infrastructure in a high-volume support environment. I diagnosed faults across distributed network systems and coordinated with field technicians to resolve outages and service degradation incidents. My precision under pressure helped the team sustain consistently high first-contact resolution rates.

As a Technical Support Agent at Apple, I delivered friendly, professional support to customers troubleshooting Apple products. I managed a steady flow of inquiries with accuracy, keeping clear notes while staying calm and helpful under pressure. That consistency earned a first-contact resolution rate above 85%, exceeding performance targets.

For my Software Engineering Technology capstone, I built a full-stack forecasting system that predicts Walmart sales demand from historical transaction data, tackling the kind of inventory and supply chain planning problem large retailers deal with every week. I engineered features from the raw sales data with pandas and NumPy, trained an XGBoost regression model through scikit-learn, and exposed the predictions through a Flask REST API that a lightweight web frontend called into. The result was a working end-to-end tool, backend, model, and UI, that turned raw historical sales data into forward-looking demand forecasts instead of manual spreadsheet estimates.

One summer, every campsite at a popular Ontario park was fully booked, but new spots would periodically open up whenever someone cancelled, so I built a tool to catch those openings before anyone else could. It uses Playwright to repeatedly load the park's reservation page and check for the absence of the site's own "No Available Sites" message, confirming a real opening rather than guessing from the page layout. When a site opens up, it fires a push notification through Pushover with a direct link to the booking page, which let me grab a reservation the moment a cancellation happened instead of manually refreshing the page all day.

For my Introduction to Database Concepts course at Centennial College, my two classmates and I designed a relational database for a clothing retail business from the ground up, starting with a full entity-relationship diagram before writing a single line of SQL. I helped write the Oracle SQL scripts that created the schema and populated it with sample inventory and sales data, then contributed to a set of analytical SELECT queries built to pull meaningful reporting out of the populated tables. The finished project walked through a complete database lifecycle, from requirements and design through implementation and reporting, for a realistic retail data model.