Applied AI Solutions Engineering • Documented Workflow Systems • Context Engineer
I’m an AI-first builder who turns messy, real-world workflows into structured, automatable systems. I build AI-centered workflows that are portable across environments — cloud, local/WSL, offline images, and tool-backed APIs — so teams can actually adopt them.
I work backwards from the process: capture context → package it for an LLM → return repeatable systems (workflows, docs, service stubs, and deployment-ready images). I’m actively targeting roles like AI Solutions Architect and Forward-Deployed AI Engineer where this kind of applied, multi-tool AI work is the job.
- Context engineering: build prompts/system cards so AI can operate on support, admin, and dev tasks without re-explaining everything.
- Dev Environment / Infra: Git/GitHub (versioned workflows) WSL/Ubuntu, GitHub Actions, Raspberry Pi image builds (Packer), and MCP/HTTP-style tool calling.
- AI for dev teams: use LLMs to generate docs, triage issues, and scaffold integrations (PostHog MCP, admin platforms, LMS flows).
- Documentation as a feature: every flow becomes something a future teammate — or AI agent — can run.
- AI & Automation: Custom GPTs, prompt/system design, LLM-assisted debugging, workflow generators
- Backend / Scripting: Python, Node.js/JavaScript
- Web / Templating: HTML/CSS, EJS
- Data / Storage: MongoDB, SQLite, pandas, Julia
- Dev Environment / Infra: Git/GitHub, VS Code on WSL/Ubuntu, Docker, Google Cloud, Raspberry Pi image builds (Packer/GitHub Actions)
- Domains: justice-tech, education platforms, secure/offline delivery
- 📧 Email: [email protected]
- 🤝 Handshake: AI-Tech Enthusiast Profile
- 💼 Portfolio: Visit my Portfolio
- 🐙 GitHub: github.com/proco-rphopkins
✨ Thanks for stopping by! I’m always open to connecting with others who share an interest in AI, data, design, and innovation.