Summary
Principal Software Engineer with 15+ years shipping mission-critical aerospace and high-fidelity simulation software (Otto Aerospace, Blue Origin). I build agentic AI systems and developer automation that turn ambiguous operational goals into reliable, test-backed software — tool-using agents, eval/guardrail pipelines, and self-healing workflows that accelerate requirements-to-code while improving safety and correctness. Deep hands-on delivery across Rust / C / C++ / Python, distributed systems, and operator-grade dashboards.
Agentic AI & automation highlights
- Built tool-using agent workflows that automate triage → plan → implementation loops with human-in-the-loop review — repeatable, test-backed changes instead of one-off prompt outputs.
- Created AI-assisted QA pipelines (test scaffolds, evidence packaging, regression summaries) that shorten feedback cycles on safety- and mission-critical systems.
- Developed ops copilots for log/telemetry summarization and anomaly correlation across distributed services, cutting time-to-diagnosis during integration and drills.
- Standardized prompt/playbook libraries and deterministic guardrails so teams can adopt AI workflows safely at scale.
Experience
Otto Aerospace · Ft. Worth, TX
Principal Software Engineer — SuperNatural Vision Program
Aug 2025 – Present
- Architected and shipped an 8K video-wall system: synchronized playback across a 4-node Mac Mini cluster (~50 GB/s aggregate) with sub-frame latency, driving immersive executive demos.
- Built a Rust/tokio orchestration backend (async SSH dispatch, JSON-RPC playback control) with <100 ms command round-trip; and a Node.js/React operator dashboard with <16 ms UI updates.
- Operationalized agentic AI workflows (Claude/Codex + tool-use) for triage, code-gen, and refactoring across Rust/Python/Node — reviewable, test-backed changes wired into CI/CD.
Blue Origin · Cape Canaveral, FL
Senior Simulation / Aerospace Operations Software Engineer
May 2022 – Aug 2025
- Invented a Rust-based “Simulated Avionics Layer” streaming 500k+ telemetry signals (~5 GB/s) from a single server — cut hardware spend $1.2M and integration labor 60%.
- Automated test & compliance: Python/pytest + GitLab CI running 800+ unit/functional/HIL tests nightly, auto-generating DO-178C / AS9100 evidence; regression cycles 3 days → 2 hours.
- Shipped the first-gen Operations Training Simulator (MVP in 18 months); trainee setup time −70%, NPS 93/100.
Avenger Flight Group · Dallas, TX / Las Vegas, NV
Director of Simulation & Software Engineering
Jun 2014 – May 2022
- Scaled the company 11 → 200+ staff across three countries; hired and mentored the first 30 simulation/software engineers.
- Designed a real-time C++17 / VxWorks / ZeroMQ data-bus (<120 ms) now fielded on 18+ aircraft simulators; earned 100% first-pass FAA approvals via CI/CD + automated DO-178C artifacts.
- Led technical delivery of a $45M multi-year simulator refresh (A320, 737 MAX, ATR), lifting narrow-body market share 1% → 13%.
SIMCOM Training · Orlando, FL
Flight Simulation Supervisor & Project Manager
Feb 2011 – Jun 2014
- Built an enterprise C++/SQL analytics platform ingesting Qualification Test Guide data from 12 flight-training devices, auto-generating compliance logs.
Technical skills
- Languages
- Rust · C · C++ (17/20) · Python · Java · TypeScript/JS · SQL · Bash · PowerShell
- AI / ML
- Agentic systems & multi-agent orchestration · tool-using agents · evals/guardrails · Claude · OpenAI/Codex · PyTorch · TensorFlow
- Systems & Tooling
- tokio · Boost · Docker · GitLab/Jenkins CI/CD · AWS · Terraform · Ansible · Linux/RT · Grafana/Loki · React · Node.js
- Aerospace & Standards
- DO-178B/C · AS9100 · ARP4754A/4761 · FAA Part 60 · MBSE · HIL simulation · DAL-A/E
Clearance
U.S. Citizen · active DBIDS badge (Cape Canaveral) · eligible for U.S. Secret / Top Secret clearance · able to travel up to 50%.