Summary
Rafael Diaz is a founding software engineer and backend-leaning full-stack developer with nine years of experience building scalable, production-grade systems in Python, TypeScript, and AWS. He has a track record of designing resilient, autoscaling infrastructure and observability (DataDog, OpenTelemetry) for client-facing tools used by 80+ marketing teams, driving high uptime and measurable performance gains. Rafael has shipped context-aware generative AI features and RAG-powered chatbots integrated into Slack and Confluence, and led efforts that cut asset upload times by 70% while contributing to products that generated seven-figure revenue. He blends hands-on engineering with operational rigor—automating on-prem and cloud workflows (Ansible, Docker, PXE) during earlier cybersecurity and IT roles—and holds dual degrees in Information Sciences and Music Technology from UIUC. Based in Dallas, he brings startup-first instincts, a penchant for observability, and a knack for turning research prototypes into reliable, client-facing services.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Information Sciences, Bachelor of Science - BS Information Sciences at University of Illinois Urbana-Champaign
High School Diploma, High School Diploma at Mary Institute and St. Louis Country Day School (MICDS)