Summary
Andrew Joia is an AI Reliability Engineer with a decade of full-stack experience who helps CTOs and VPs ship LLM-powered apps with measurable, production-grade reliability. He builds evaluation frameworks, adversarial scenario tests, CI no-regression gates, and prompt/version governance so model and agent changes are auditable and safe at scale. At LangWatch he turned acceptance criteria into deterministic eval suites and telemetry dashboards that quantify drift, pass-rate, and release risk for leadership. His background as a founder and senior engineer across blockchain, DeFi bots, and high-scale Telegram trading systems gives him a pragmatic lens on production resilience and threat modeling. Based in Paris, he blends frontend/UX chops with deep systems and automation experience to make AI behavior controllable—not just impressive in a demo.
10 years of coding experience
9 years of employment as a software developer
Bay Shore High School
Full Stack Web Development Certification Computer Softwa, Full Stack Web Development Certification Computer Softwa at freeCodeCamp
Advanced Zulu Literature, Advanced Zulu Literature at University of KwaZulu-Natal, Pietermaritzburg, South Africa
Bachelor of Science Ecology and Evolutionary Biology, Bachelor of Science Ecology and Evolutionary Biology at Yale University
Natural and Cultural Ecology, Natural and Cultural Ecology at School for International Training, Cairns, Australia
English, Chinese, Spanish, French