David Boswell is the founder of GHOST ARCHITECT SYSTEMS LLC, focused on local-first AI infrastructure, secure software systems, GPU runtime validation, and evidence-backed AI operations.

His work sits at the intersection of:

• local AI runtime engineering
• post-quantum security architecture
• GPU acceleration and quantization workflows
• AI confidence calibration
• audit trails, receipts, and chain-of-custody systems
• operator-first software design

The objective is not to present AI as magic.
The objective is to make AI systems inspectable, testable, auditable, and owner-controlled.

Current private validation path:

• Blackwell-class GPU runtime validation
• CUDA / TensorRT / TensorRT-LLM / ModelOpt workflow research
• NVFP4 quantization and restore/load validation
• Gemma-class multimodal model evaluation
• backend policy gating
• first-token correctness checks
• NaN / Inf checks
• performance receipts
• local VS Code operator workflow
• confidence calibration path
• evidence manifests and claim audits

Public status: private verification in progress.
Public claim: engineering path under validation.
Not claimed: public release, production readiness, final certification, or benchmark superiority.

GHOST is the working architecture behind the company direction: systems that are not only powerful, but also verifiable.

The Autonomeon Kernel is the evidence-audit architecture behind the broader GHOSTAI concept.

Its core idea:

AI systems should be allowed to adapt only inside a controlled execution path where changes, outputs, dependencies, and decisions can be logged, verified, replayed, and cryptographically attested.

Key themes:

• deterministic execution
• signed evidence trails
• post-quantum security planning
• license and dependency receipts
• replayable audit logs
• validation before promotion
• owner-controlled local operation

GHOSTNODE1 is the local engineering system used for runtime validation, model workflow testing, and owner-controlled AI infrastructure experiments.

Current hardware path includes:

• Dell Pro Max 18 Plus MB18250
• Intel Core Ultra 9 platform
• NVIDIA RTX PRO 5000 Blackwell Generation Laptop GPU
• 24 GB GDDR7 dedicated GPU memory
• 128 GB system memory configuration
• Windows 11 Pro / Ubuntu 24.04 path
• Secure Boot and virtualization-based security posture

• local LLM runtime validation
• model restore/load gates
• multimodal image-text evaluation
• quantization validation
• TensorRT/TensorRT-LLM workflow research
• CUDA performance validation
• confidence calibration planning

• Python
• JavaScript / Node.js
• React
• Django
• SQL
• Bash / Linux shell
• Docker fundamentals
• Kubernetes fundamentals
• GitHub Actions / CI concepts
• REST APIs and CRUD services

• Security+ domain knowledge
• SIEM and IDS fundamentals
• incident response foundations
• digital forensics foundations
• penetration-testing fundamentals
• risk, controls, and secure system design
• provenance and evidence tracking
• software bill of materials concepts
• cryptographic receipt planning

Education and training listed here reflect professional certificates, evaluated learning, Study.com coursework, IBM/Coursera credentials, CompTIA, TryHackMe, and Navy/JST training.

No active college-enrollment or completed-degree claim is being made.