AI safety and safeguards
Model behavior, misuse prevention, adversarial testing, and safeguard review.
About Jonathan R. Reed
Sociology, AI security, deployment, software, and technical education.
Dallas, TX | UT Dallas
B.A. Sociology, The University of Texas at Dallas, expected 2027
Open to remote and Dallas-area roles
Jonathan R. Reed
I study Sociology at UT Dallas and build technical systems around AI safety, trust, deployment, security, and user-facing workflows.
I’m interested in how AI systems behave under real constraints: users, incentives, privacy, misuse, cost, support, and operational failure.
Most of my work sits where local-first AI, RAG, LLM evaluation, deployment hardening, and technical writing overlap.
Hello.World Consulting is where I turn that into applied work: scoped deployment, private AI workflows, architecture review, documentation, and practical handoff.
At Reed & Terry, I handle IT, security, internal systems, networks, web support, backups, access control, and secure AI tooling in a confidentiality-sensitive legal environment.
At Podium Education, I teach practical AI use, help improve live program operations, and have presented to 400+ students while building feedback methods that cut grading turnaround by 31%.
My EMT experience strengthened calm decision-making, documentation, and execution under pressure in emergency settings.
Public work includes AI Stats, Prompt Info, TRACED, AI News, Apple-MCPs, Internet Outage Atlas, and local-first RAG tooling.
I’m especially interested in internships and entry-level roles where AI, security, product work, customer work, and clear technical communication overlap.
How I work
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Tight feedback loops
I show work early so the direction stays honest while we build.
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Written handoff
Every project ends with notes a team can actually use.
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Private by default
I use local and private-cloud patterns when the risk calls for it.
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Low meeting overhead
Concise updates, fewer status meetings, and decisions that do not drift.
What I Work On
I keep the main site focused on identity, resumes, writing, and selected proof. Deep case studies can live elsewhere when that system is ready.
Trust & safety
Technical work grounded in users, incentives, privacy, misuse, and support handoff.
AI deployment
Local-first AI, RAG, private-cloud workflows, demos, documentation, and adoption support.
Software and security tools
Full-stack tools, security engineering, customer engineering, technical success, and developer education.
Why Sociology Helps
Sociology keeps the technical work connected to human behavior, institutions, incentives, trust, risk, adoption, documentation, and handoff. Those details decide whether an AI or security system works outside a demo.
Current Resume Versions
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