AI Infrastructure Architect focused on Terraform plan correctness, GPU FinOps, and secure RAG pipelines.
I build deterministic, offline-first governance tools that help teams ship AI infra with confidence - no telemetry, no guesswork, and no black boxes.
Security + FinOps governance for Terraform plans.
Purpose-built for modern AI, GPU-heavy, and RAG workloads.
VectorScan High-signal scanner for RAG/vector database security
👉 https://github.com/Dee66/GuardSuite/VectorScan
ComputeScan Detects GPU cost drift, autoscaling issues, and utilization waste
👉 https://github.com/Dee66/GuardSuite/ComputeScan
Commercial-grade governance for teams that need executive-level proof.
Auditable Compliance Ledger for Zero-Trust RAG security.
Get CISO-grade proof, not just alerts. Deterministic OPA policies, full drift analysis, and an exportable governance artifact.
CFO-ready Zero-Waste Score for GPU cost certainty.
Complete drift autopsy, underutilization detection, GPU-rightsizing intelligence, and FinOps-grade governance reporting.
Live Failures: Real Terraform plans demonstrating critical vector security flaws and GPU cost risks validated by both scanners.
👉 https://github.com/Dee66/GuardSuite/terraform-governance-demo
AWS-native reference architecture for secure, production-grade AI systems.
👉 https://github.com/ShieldCraft-AI/ShieldCraft-AI
Minimal, AWS-native MLOps/RAG framework for rapid experimentation and deployment.
👉 https://github.com/Dee66/CodeCraft-AI
- Terraform plan parsing & correctness
- OPA / Rego deterministic policy engines
- Vector DB / RAG security
- GPU FinOps & rightsizing governance
- Drift detection for AI infrastructure
- Zero-trust, offline-first tooling
- AWS-native AI platforms
- Secure MLOps & LLM deployment pipelines