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
- agents.json - structured candidate profile and evidence matrix.
- agents.md - clean text version for extraction and summarization.
- Tyler-Resume.pdf - downloadable applied AI resume.
- Tyler-Technical-Briefs.pdf - downloadable applied AI technical briefs.