Several years of professional work in software, data workflows, and production troubleshooting. Built C# tools, contributed Python backend components, and investigated application behavior across APIs and SQL Server.
A driving simulator and controlled reinforcement-learning experiment exploring how observation design affects a learned policy.
Built headless simulation and reproducible training, then compared two observation variants across six controlled runs.
A collection of hands-on systems work spanning networking, self-hosted services, PC integration, and storage recovery.
Built and commissioned an operational Phase-1 simulator PC, alongside a segmented home network and recoverable local services.
Developed and deployed a full-stack Spotify analytics application with React, Spring Boot, and Google Cloud. Maintained the cloud deployment for over two years without experiencing downtime or operational issues. The original deployment is now retired.
Consolidated several Spotify resources into one response model, with bounded pagination and concurrent processing.
A four-person academic team project that moved a local organization's incident reports from paper into a full-stack browser application.
The team connected six structured report workflows with administrator review, CSV exports, and relational storage.
In development · Local prototype
An AI-driven date and activity planning project. The local prototype matches individual or group preferences, constraints, and feedback.
Implemented explainable ranking and a review workflow for researched activity information. Self-hosted model integration is planned.
For more information on the majority of my projects check out my GitHub!