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Backend systems, infrastructure, and the "why" behind them in practice.
AIOps engine with PII masking monitoring a Go completions proxy and Python sidecar over UDS, utilizing a local Ollama LLM for automated root cause analysis on metric anomalies and chaos faults.
Serverless Go project on AWS that monitors multiple websites hourly with Lambda and EventBridge, stores status history in S3, and deploys infrastructure with Terraform and GitHub Actions.
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.
A portable library of reusable AI agent skills and helper scripts, structured under the SKILL.md open standard to orchestrate consistent developer workflows across compatible LLM clients.
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.
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.
A 30-day self-directed coding challenge repository built with Terraform, implementing progressively complex cloud infrastructure on Azure and AWS, spanning networking, AKS, and RBAC.