Applied AI Engineer
I build production AI systems in Python: FastAPI services, workflow automation APIs, multi-agent orchestration, streaming systems, and evaluation infrastructure. Public demos, shipped tooling, and 3,500+ automated tests across production repos.
Flagship work includes multi-agent orchestration, workflow automation backends, real-time voice AI, and client-facing automation systems with public technical proof.
Start With Flagship Repos →Strongest technical areas are FastAPI services, orchestration, async workflows, WebSockets, streaming pipelines, integrations, and developer tooling.
View Applied AI Profile →Golden evals, adversarial cases, CI gates, prompt versioning, and 3,500+ automated tests across production repos make the AI work easier to trust in production.
Review Benchmarks →Multi-agent orchestration platform with layered caching, eval-driven delivery, and strong backend systems depth. Best first-click proof for startup AI engineering roles.
YAML-driven workflow automation backend with async workers and SSE streaming. Clean, direct FastAPI proof for AI backend and integration roles.
Real-time voice AI pipeline with WebSocket audio streaming, STT/TTS, VAD, and barge-in support. Strong proof for latency-sensitive AI applications.
Planning, tool use, retrieval, and conditional routing with a live demo and offline MockLLM support. Clear proof of orchestration concepts without external dependency friction.
Applied AI Engineer focused on workflow APIs, agent orchestration, streaming systems, and Python backend delivery. Available for remote full-time roles.
Cathedral City, CA · Remote nationwide · Open to full-time or contract AI roles