Engineering resilient systems and documenting the 'why'.
Software Developer 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)
Terraform
ArgoCD
Docker
Microsoft Azure
AWS
OpenTelemetry
Prometheus
Grafana
Cilium (eBPF)
GitHub Actions
Linux
Tailscale
PostgreSQL
MongoDB
React
Tailwind CSS
Model Context Protocol (MCP)
End-to-end Kubernetes observability system using Terraform and GitOps, with OpenTelemetry, eBPF networking, MCP diagnostics, HA data services, and incident workflows including 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.