Summary
Armando Bañuelos is a Full Stack Software Engineer with eight years of experience building cloud-native, ML-driven products from research to production. He combines hands-on backend work in Python, Go, and Java with React frontends and Dockerized AWS deployments to accelerate drug discovery and education platforms. At Unnatural Products he ships ML and computational chemistry tooling, while at Stanford and UC Santa Cruz he adapts and operationalizes advanced AI coursework and MLOps pipelines for professional and research audiences. He co-founded a SaaS for recreational soccer operations and advises AI-driven education products, reflecting a mix of entrepreneurial drive and domain-focused product strategy. Notably, his background includes both core infrastructure work at IBM (data lakehouse and CI/CD) and instructional roles teaching Kubernetes and NLP, which help him bridge developer tooling, pedagogy, and production ML.
8 years of coding experience
4 years of employment as a software developer
High School High School, High School High School at Bellarmine College Preparatory
Bachelor’s Degree Computer Science (Artificial Intelligence), Bachelor’s Degree Computer Science (Artificial Intelligence) at Stanford University
English, Spanish