Engineering resilient systems and documenting the architectural why.
Software Engineer focused on building observable, scalable platforms. Documenting the architectural trade-offs and "why" behind systems engineering, from zero-infrastructure data ingestion pipelines to cloud infrastructure.
Go (Goroutines)
Python (asyncio)
TypeScript
Kubernetes (k3s)
Helm
Prometheus
OpenTelemetry
Grafana / Loki / Tempo
OpenTofu (Terraform)
Azure (Functions)
Docker
GitHub Actions
Linux (Systemd)
PostgreSQL (JSONB)
MongoDB
Node.js
Flask
GraphQL
React
Tailwind CSS
High-fidelity K3s observability platform. Implements modular library-first Go architecture, OpenTelemetry tracing, OpenBao secrets, and GitOps automation.
Serverless image generation service architected on Azure Functions & Next.js. Enforces design consistency via shared full-stack validation, automated WCAG compliance, and privacy-first telemetry.
Building a 'Paved Path' for automation. Reusable GitHub Actions for standardizing linting, security, and CI/CD workflows.
Zero-infrastructure reading analytics pipeline. Automated data pipeline via GitHub Actions with MongoDB event sourcing for observability and interactive visualizations.