Engineering resilient systems and documenting the 'why'.
Software Engineer focused on building observable, scalable platforms. Documenting architectural trade-offs and systems engineering decisions, from data pipelines to cloud infrastructure.
Go
Python
TypeScript
Rust
Kubernetes (K3s)
Helm
Cilium (eBPF)
OpenTelemetry
Prometheus
Grafana / Loki / Tempo
Azure
OpenTofu (Terraform)
ArgoCD
Docker
GitHub Actions
Linux
Tailscale
Model Context Protocol (MCP)
PostgreSQL
MongoDB
React
Tailwind CSS
End-to-end platform engineering system for self-hosted Kubernetes: OpenTofu, GitOps, OpenTelemetry, eBPF networking, MCP diagnostics, HA data services, recovery, incidents, ADRs, and RCAs.
TypeScript/React cover image generator with Azure Web Apps and Functions, automated deployment via GitHub Actions CI/CD, queue-based async processing, WCAG validation, telemetry, and analytics.
Engineered an MCP server to solve the LLM statelessness gap. Tracks Unit Economics and carbon impact via DuckDB while ensuring sub-10ms query via FTS5, WAL and knowledge refinement.
Experimental Rust CLI for Kubernetes infrastructure observability, collecting workload metrics, node usage, and Prometheus/Kepler energy signals across local and cloud Kubernetes clusters.
Cloud-agnostic Terraform infrastructure curriculum with Azure depth and AWS validation, covering networking, AKS, RBAC, security patterns, and multi-cloud design.