Summary
Júlio Guedes is a software engineer with nine years of experience specializing in performance, resiliency and scalability of backend systems, currently driving apps-platform reliability at VTEX. He has built recommendation and item-discovery solutions for music products at Indaband and combines hands-on engineering with research-led expertise as a master's candidate focused on recommender systems and deep learning. His background spans full-stack and mobile prototyping, data science for NLP-driven customer automation, and leading R&D collaborations with industry partners like Dell EMC. Comfortable moving between metric-driven product work and production-grade backend architecture, he brings a pragmatic researcher’s mindset to shipping reliable, high-scale systems from Brazil’s Paraíba.
9 years of coding experience
4 years of employment as a software developer
Master's Candidate in Computer Science, Recomender Systems and Deep Learning, Master's Candidate in Computer Science, Recomender Systems and Deep Learning at Universidade Federal de Campina Grande
Portuguese, English