Tyler Mayberry
I’m a software and AI systems engineer with 9+ years of experience building production-grade applications across enterprise SaaS, automotive systems, and full-stack products, and I’ve been focused on AI-native…
About
I’m a software and AI systems engineer with 9+ years of experience building production-grade applications across enterprise SaaS, automotive systems, and full-stack products, and I’ve been focused on AI-native engineering since 2023. I work end-to-end—from designing backend and frontend systems to building reliable LLM applications with RAG, tool calling, agent workflows, and human-in-the-loop controls—so what we ship is both powerful and dependable.
I enjoy connecting AI workflows to real business data and internal APIs, then operating them in production with strong observability (structured logs, traces, and monitoring) and safe execution patterns (deterministic validation and operator review). Currently, I’m building internal AI-enabled tools and agent workflows, and I’ve also founded and shipped distributed computer-use infrastructure and local-first coding-agent knowledge tools that keep users in the loop.
- 9 years' experience
- Joined October 2026
Industry experience
- Software & Internet
- Computers & Electronics
- Financial Services
- Transportation & Logistics
- Media & Entertainment
- Professional Services
- Travel & Hospitality
- Manufacturing
- Telecommunications
More experts in Tulsa, United States
Work experience· 12 roles
Built internal AI-enabled applications using Python, TypeScript, Node.js, React, REST APIs, LLM services, and data integrations across operational workflows, monitoring, dashboards, and content systems. Developed agent workflows with RAG, LangChain, LangGraph, tool calling, embeddings, and vector search to connect LLMs with internal APIs and business data, and used LangSmith plus structured logs and traces to inspect tool calls, latency, failures, and workflow behavior. Worked across REST/GraphQL APIs, asynchronous processing, background services, microservice-style boundaries, AWS infrastructure, Docker, Kubernetes, Terraform, and CI/CD while keeping high-impact actions behind deterministic validation and human review.
Built full-stack conference software spanning proposals, reviews, speaker management, scheduling, administrative workflows, APIs, and public program publishing. Developed reusable application services and validation rules around scheduling conflicts, workflow state, and multi-user operations.
Built a responsive financial application combining read-only account data, deterministic financial logic, and LLM-assisted explanation. Implemented secure integrations, authentication, backend workflows, and transaction processing for core financial state.
Education
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