Summary
Chad Avalon is an independent AI product engineer with nine years building agentic systems, tool-using LLMs, and production streaming UX that prioritize observability and reliable behavior in the real world. He designs systems that translate ambiguous user intent into measurable outcomes—time-to-first-useful-output, acceptance/retry rates, and cost per successful outcome—while ensuring graceful degradation under real constraints. Recent projects include Routly, a carbon-aware LLM router that cut per-session carbon intensity ≈40%, SomniScope, an evidence-focused CPAP analytics agent combining 25Hz time-series with RAG, and WhatsCal, a tool-calling scheduling assistant with AI-driven broadcast optimization and safety guardrails. Comfortable at the intersection of product, systems, and human context, he builds AI that teams can debug, clinicians can trust, and founders can justify. His background in psychology and coaching informs a practical emphasis on provenance, explainability, and user trust that sets his engineering work apart.
9 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Sofia University
Master of Arts (M.A.), Integral Psychology, Master of Arts (M.A.), Integral Psychology at John F. Kennedy University
Bachelor of Applied Science (B.A.Sc.), Psychology, Bachelor of Applied Science (B.A.Sc.), Psychology at Portland State University
Web Developer Program, Web Development, Web Developer Program, Web Development at Thinkful