Summary
Rel Guzman is a FullStack software engineer and university lecturer in Innovation and Digital Transformation with 13 years of experience blending Python and JavaScript development, UX/UI design, and data-driven product work. He holds a PhD in Computer Science (Machine Learning) from the University of Sydney and has published in top robotics and optimization venues while translating that research into teaching and practical AI tooling for web contexts. In industry roles he has designed modular monorepo architectures, microfrontends, AI-driven analytics pipelines using LLMs, and robust ingestion/guardrail systems to reduce hallucinations and processing overhead. Comfortable moving between research, classroom and production, he mentors applied student projects and builds end-to-end prototypes with Figma, Next.js/React, Supabase, Prisma and cloud media integrations. Unusually for an academic-turned-developer, he also brings hands-on ops experience in supply chain, warehouse optimization and brand redesign, giving him a pragmatic systems perspective on product delivery. Based in Peru, he focuses on creating AI-friendly web environments that bridge research-grade models and user-centered interfaces.
12 years of coding experience
3 years of employment as a software developer
QA Testing - Manual, QA Testing - Manual at UPEX Galaxy
UX/UI Design, UX/UI Design at Coderhouse
Fulstack Web Development, Fulstack Web Development at TECSUP
Construction Engineering, Construction Engineering at Instituto Flavisur
Diploma Course on Digital Marketing, Marketing/Marketing Management, General, Diploma Course on Digital Marketing, Marketing/Marketing Management, General at Instituto Peruano de Marketing - IPM
The University of Sydney
Master's degree, Informatics, Master's degree, Informatics at Universidad Nacional de San Agustin de Arequipa
Spanish, English