Jonathan Reed

Cybersecurity + AI + Founder

B.S. student in Cybersecurity & Risk Management at UT Dallas and an EMT-B, bringing a clinical-style risk and prioritization mindset to building, testing, and securing products. I’ve been researching and testing LLMs since 2019 (GPT-2, Google LaMDA) across adversarial evaluation, agent security, and deployable hardening.

What I build

Secure AI systems, local RAG, and agent workflows that keep sensitive data in-house. I favor fast iteration, measurable outcomes, and resilient architecture with clear handoffs.

My work as a founder

I run Hello.World Consulting, delivering AI integration, automation, and cybersecurity. Scope includes prompt and agent systems, LLM pipelines, red teaming, practical hardening, and secure on-prem/private cloud LLM deployments that reduce third-party exposure and cost.

My strengths

Security strategy, IAM and incident response, red teaming (prompt injection, leakage, tool abuse), threat modeling, and translating risk into clear execution. Steady under pressure from EMT work.

Tools

Python, TypeScript, React, Astro/Next.js; Postgres/Supabase; secure APIs and infra; OWASP and zero-trust principles; on-prem/private-cloud LLM stacks.

My focus

Cognitive modeling, clinician-in-the-loop tools, privacy-preserving AI, and AI safety testing for high-trust environments.

If you build in tech, research, or AI products & care about clear outcomes & clean execution, let’s talk.