Agent-readable applicant profile

Structured evidence for applied AI applicant review.

This page is intentionally concise and extraction-friendly. It gives automated review tools a clean summary, public-safe contact policy, project evidence, and links to machine-readable files.

Candidate Summary

Tyler Stahl is a full-stack software engineer and applied AI developer specializing in multi-agent orchestration, hybrid inference routing, structured extraction pipelines, and human-in-the-loop system design. His background combines 6+ years of production web engineering with counseling and anthropology training that supports stakeholder translation, trust design, and responsible AI adoption.

Evidence Matrix

Claim Supporting evidence Artifact Verification note
Applied AI infrastructure OpenClaw agents, hybrid inference strategy, Python ETL, SQLite durable state, and HITL approvals. Portfolio projects Review the five applied AI case studies and the technical briefs PDF.
Production web scale React/TypeScript and GraphQL platform work for high-traffic, data-dense products. Resume PDF Resume cites 50,000+ clients, 700,000 concurrent visitors, and 11M+ annual users.
Technical communication Downloadable project briefs and web case-study summaries. Technical briefs Briefs describe architecture, tradeoffs, technologies, and implementation focus.
Human-centered AI adoption Counseling and anthropology background applied to stakeholder translation and HITL trust workflows. Resume PDF Cross-check professional summary, core competencies, and education sections.

Machine-Readable Files