Probably Justin ☢️
About
I probably work in observability, streaming data through clouds I don’t own, instrumenting code I didn’t write, and tracing requests no one can explain.
Currently leading engineering efforts to build Agentic AI systems and cloud-native observability platforms that actually scale across Azure, AWS, and GCP. My mission is to architect intelligent, modular systems that blend AI, automation, and geospatial insight into scalable platforms. I lead with a focus on agentic design, delivery standardization, and operational transparency—enabling teams to ship faster, think smarter, and build with intention. I’m here to elevate both the platform and the people behind it.
From massive data pipelines to pharmaceutical traceability, FedRAMP compliance, mesh networking, and sky-tracking…
If you can deploy it, trace it, map it, or debug it—I’ve probably done it (or broken it trying).
Fun fact: The first album I ever bought was The Bright Lights of America by Anti-Flag.
Interests
- 🤖 Agentic AI, Software engineering, RAG, and Training Data Sets
- ☁️ Cloud-Native Observability & Auto-Instrumentation (OpenTelemetry / Dynatrace / Datadog)
- 🛰️ Real-Time Aviation Tracking & ADS-B Data (SkyTrace Project)
- 🗺️ Interactive GeoJSON / Map Tile Services (pmtiles, mbtiles)
- 🧩 Distributed System Design & Mesh Networks for Tracing
- 🚀 Building AI-Augmented Self-Correcting Pipelines
- 🐛 Teaching, Mentoring, and Leading Hackathons
- 📦 Kubernetes / Docker / Terraform / IaC Automation
- 🔒 Cybersecurity / Compliance (FedRAMP / Security Gates)
- ⚙️ DevOps & CI/CD (Azure DevOps / Jenkins / GitHub Actions)
- 🎯 Making “local dev” feel like production (or at least break the same way)
If you’ve read this far, congratulations—you’re now qualified to troubleshoot my next distributed tracing demo.
(Seriously, the docs are over there 👉 OpenTelemetry)