Dallas-based AI security and software builder focused on LLM red teaming, RAG security, secure AI deployment, local-first tools, and native macOS software.
Open to internship and entry-level roles in AI security, safeguards, security engineering, and software engineering. Remote or Dallas-area.
I’m studying sociology at UT Dallas. That background changes how I look at technical systems, especially incentives, workarounds, trust, and what happens when a safeguard meets real users.
| Project | What it does |
|---|---|
| RAGFuzz | Tests retrieval systems against prompt injection, poisoning, leakage, and multi-turn failures. Case study |
| PoliBench | Compares AI assistants under locked run plans with auditable prompts, scores, receipts, and release checks. |
| Apple MCPs | Gives agents structured local access to native Mac apps through explicit MCP tools and safety modes. Case study |
| Waves | A native macOS per-app audio mixer for volume, EQ, output routing, and focus rules. Live site |
| AI Stats | Brings model pricing, provider, latency, speed, and benchmark sources into one comparison workbench. Case study |
Python, TypeScript, Swift, Rust, Astro, Bun, FastAPI, and Cloudflare.
- Portfolio: https://jonathanrreed.com/
- For recruiters: https://jonathanrreed.com/hire/
- AI security: https://jonathanrreed.com/ai-security/
- Projects: https://jonathanrreed.com/projects/
- Resume: https://jonathanrreed.com/resume/
- LinkedIn: https://www.linkedin.com/in/jonathanrreed0/
- Contact: https://jonathanrreed.com/contact/