I am an AI researcher, systems engineer, and developer specializing in structured design frameworks, modular architectures, and AI-assisted technological development. My work focuses on recursive AI workflows, system legitimacy frameworks, and modular security research tooling.
- Python development
- SQL and database systems
- Cross-language integration
- Large Language Models (LLMs) and AI generative engineering
A design-time framework for evaluating the structural validity of engineered systems. SLML formalizes architectural reasoning and system integrity validation before implementation.
A recursively generative modular workflow engine designed for building complex AI-driven pipelines. Key features include:
- Modular architecture
- Recursive task orchestration
- AI-assisted workflow generation
- GitHub: Tommy-Raven
- Pronouns: Apache/Helicopter (Note: This is a playful reference; I use he/him pronouns)
Exploring the intersection of AI, systems engineering, and innovative design.
• structured system reasoningPass-Work
A modular Python-based offline research and password analysis framework.
Pass-Work integrates:
• password corpus extraction and generation
• entropy modeling and statistical analysis
• structured research databases
• professional password auditing tooling
• integrations with established cracking frameworks
The system emphasizes clean modularity and extensibility while maintaining full offline capability.
- recursive AI systems
- AI safety and architecture
- structured knowledge frameworks
- modular system engineering
- security research and password analysis
- AI-assisted learning and discovery
🐶 dog lover (Yorkie enthusiast)
🎵 musician and multi-instrumentalist
📚 enthusiast of engineered systems and knowledge structures
- Windows 11 (Microsoft) — primary workspace for VSCode‑based dev‑ops, Git workflows, and general development
- Kali Linux — dedicated environment for security research, penetration‑testing, OSINT, and tooling validation
- Debian 14 / Debian Testing — stable Linux base for dev‑ops automation, service orchestration, and containerized pipelines
Debian Testing workstation + Kali Live research environment
Primary Machine:
- 2017 HP Pavilion Notebook
- CPU: Intel Core i5
- Integrated GPU: Intel HD Graphics 530
- Discrete GPU: Nvidia GeForce 950M
- Supports hybrid Windows/Linux workflows, virtualization, and multi‑distro development
Python‑driven automation pipelines built around JSON and TOML configuration ecosystems, enabling deterministic, structured, and environment‑portable dev‑ops workflows across Windows, Kali, and Debian.
Additional areas of work include:
• OSINT research
• networking analysis
• Kali security tooling
• audio engineering with Ardour + LSP plugins
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