CS grad turned data pipeline wrangler. If you're doing the same task twice, it's time to script it.
Building reliable, observable systems and eliminating toil so teams can focus on what matters.
On the Clock: Splunk and Cribl consultant specializing in security operations. I architect SIEM platforms, build detection pipelines, and optimize data flows with a focus on reliability and cost efficiency. My specialty? Cutting ingest volume by 30-50% while actually improving security posture.
Outside the Terminal: When I'm not debugging data pipelines, I'm probably over-engineering my home lab or convincing my reef tank that uptime matters.
🏠 Home Lab: Proxmox server, UniFi networking, Home Assistant orchestrating everything from leak detection to automated garden watering. The goal is fault-tolerant infrastructure I can rebuild from a single config file.
🐠 Aquariums: 75-gallon saltwater reef (clownfish, corals, pistol shrimp) + freshwater tanks with custom lighting and wave-maker automations. The fish have better SLOs than most production systems.
🤿 Adventures: Scuba diving (San Pedro, Belize is my happy place), snowboarding in Michigan and Colorado, hiking, running
- Home Lab IaC Stack — Terragrunt/Terraform/Ansible for reproducible infrastructure
- Network Segmentation — Because flat networks are for the reckless
- AI-Powered Home Automation — Making my house smarter than it needs to be
I'm deep in the AI rabbit hole and loving every minute of it. Current focus areas:
- Prompt Engineering — Crafting system prompts, building multi-turn workflows, and optimizing for specific use cases
- Agentic Workflows — Building AI systems that reason, plan, and execute multi-step tasks without hand-holding
- Claude Code & Gemini CLI — Daily drivers for AI-assisted development; I've built custom skills, hooks, and integrations for both
- Multi-Model Orchestration — Routing tasks to the right model (Opus for architecture, Sonnet for speed, local models for privacy)
- RAG & Context Engineering — Building retrieval systems that actually work in production
