Cloud AppSec & APIs
How web apps and APIs actually break at the edge — and what holds when traffic gets weird.
Austin · cloud security · labs in public
Cloud security, application/API protection, and AI security research — learned in public, served with coffee.
I’m Terminals & Coffee — a builder who sits with how applications and APIs really behave, then makes them harder to abuse. My work lives in cloud security, application/API security, AI security research, and the labs that prove ideas before they hit production.
Public work is the lab bench: detection-as-code, AI/LLM threat models, cloud automation, architecture notes. Not a highlight reel — technical experimentation where the seams show.
How web apps and APIs actually break at the edge — and what holds when traffic gets weird.
Hands-on detection work: fewer false positives, clearer signal, and rules you can actually validate.
Reproducible benches — Terraform, detection-as-code, AI/LLM security — seams visible on purpose.
Notes on cloud security, APIs, Terraform, and AI security research that prefer clarity over theater.
Public labs on GitHub — open the repo if you want the seams.
Wazuh, Sysmon, Elastic/KQL rules, ATT&CK mappings, and reproducible validation workflows.
Hands-on fundamentals for detection engineering — blue-team practice in the open.
Threat models, trust boundaries, secure RAG/agent design, and architecture review exercises.
Multi-cloud automation scripts in Python, PowerShell, and Bash for AWS and Azure.
Study notes and labs for Terraform fundamentals and HashiCorp Associate prep.
Cloud design, threat modeling, risk assessment, and framework-driven decisions.
I build learning paths for people who want cloud security skills they can actually use — attack-and-defend labs, cloud engineering fundamentals, and the habits that keep environments harder to break. Same vibe as Terminals & Coffee: practical, public, no fluff.
The places I publish, ship labs, and keep building.