Aerospace × AI
Building agentic AI workflows and Specialized Engineering Services.
I design and ship engineering toolsets for engineering teams and stand up AI/LLM systems for real engineering problems.
MATLAB/Simulink
Python
Kubernetes + GitOps
Cilium • Rook-Ceph
MLOps • Agents
Highlights
Commercial control-design tools
Created two applications for air-vehicle analysis and control design in MATLAB/Simulink — used by multiple aircraft companies.
AI/LLM platform work
Agentic AI workflows for engineering operations, model-assisted documentation, and compliance automation.
Homelab → production patterns
End-to-end GitOps: Talos-based k8s, Cilium, Rook-Ceph, Hubble, MetalLB, observability, and hardened networking.
10xfaster control iterations
99.9%CI pass rate on HIL sims
2025-10-06Last updated
What I’m best at
- Flight-dynamics modeling (6-DOF), control-law synthesis (NDI/INDI, LQR), and certification-minded workflows.
- LLM/agentic systems that convert expert intuition into engineered, auditable automation.
- DevOps for engineers: reproducible stacks with ArgoCD, Helm, and strong security defaults.
Looking for
- Senior/Staff roles in Flight Controls, GNC, or AI Ops in aerospace/defense.
- Opportunities to lead HIL/SiL test automation and model-based design toolchains.
- YC conversations on AI for compliance/safety in regulated engineering.