Software developer at the U.S. Bureau of Labor Statistics, where I build data pipelines and CI/CD infrastructure for the Consumer Expenditure Survey — including leading parts of a production SAS → Python migration that modernizes decades-old statistical processing.
🎓 B.Sc. Computer Science, University of Manitoba · 📍 Washington, D.C.
Haxos — a ticketing and event-management platform for hackathons and conferences. Born out of years of actually running these events (CUSEC, .devHacks) and being tired of duct-taping Tally forms, Ticket Tailor, and spreadsheets together.
Kotlin · Spring Boot · PostgreSQL · React + Tailwind · Docker · GitHub Actions · AWS (ECS + RDS)
Currently working through the MVP: event CRUD, transactional order/ticket creation, JWT auth, and QR-based check-in.
- Data engineering: Python/pandas implementations of statistical imputation methods, replacing legacy SAS programs with tested, reviewable code
- CI/CD: Multi-environment GitLab pipelines (build → acceptance → production) with environment-scoped configuration and automated deployment
- Developer advocacy: Presented live SAS-vs-Python comparisons to all-staff audiences; pushing modern tooling adoption (VS Code, Git workflows) across statistical teams
A Proxmox homelab that doubles as my infrastructure playground:
- Docker services with a Grafana + Loki observability stack and alerting
- WireGuard VPN, reverse-proxied self-hosted apps, and a 16TB NAS
- An RTL-SDR → Icecast FM streaming pipeline, because why not
Python Kotlin Java SQL SAS JavaScript C#
Spring Boot React pandas Docker PostgreSQL
AWS GitLab CI/CD GitHub Actions Ansible Proxmox Grafana/Loki
📚 Currently studying for AWS Solutions Architect – Associate
Transit and urban planning nerd (ask me about clockface scheduling), conference organizer, D&D player who will always pick roleplay over combat, and occasional game jam participant — see CSGameJam-2023 and the Costco Parking Simulator.
📄 Resume · 💬 Open to connecting about backend, data engineering, and cloud infrastructure roles