$ cat profile.txt
Hands-on exploit research at the intersection of cloud infrastructure & AI systems
$ cat mission.txt
Hands-on exploit research in controlled lab environments. Focused on LLM security, AI service misconfigurations, cloud infrastructure attack surfaces, and AI supply chain threats. All findings published with reproducible evidence.
$ ls focus/
A deep-dive into the real cost of running AWS CloudWatch at scale — including the hidden fees across 15 billing dimensions — and a complete PLG (Prometheus, Loki, Grafana) alternative that cuts your observability bill by 97%.
A deep audit of GitHub Actions supply chain attacks — from the tj-actions/changed-files compromise that hit 23,000+ repos to the hidden cost of unsecured CI/CD pipelines — with a complete self-hosted scanning stack that replaces $25,000/month enterprise tools for $40.
A comprehensive audit of CVE vulnerabilities across AI/ML frameworks — including PyTorch, TensorFlow, LangFlow, SGLang, and Ollama — with real cost analysis, automated scanning infrastructure via Terraform, and a complete detection lab you can deploy today.