Summary
Caio Rosa is a versatile software engineer and undergraduate researcher with nine years of experience building and optimizing distributed backend systems using Go, Kotlin, PostgreSQL, Kafka, Kubernetes and Docker. He has production impact—rewriting critical iFood services in Go that drastically reduced pod counts and latency—and practical ML research experience, having implemented GAN architectures in PyTorch and now researching zero-shot facial age estimation for Child Sexual Abuse Material detection at Recod.ai. Comfortable bridging engineering and research, he has taught machine learning and algorithms as a TA and led student data-science initiatives at Unicamp. Curious by nature, he experiments with new languages and tools like Rust and Vim, and maintains an active GitHub and personal site showcasing projects.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Peking University
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Universidade Estadual de Campinas
Technician Information Technology, Technician Information Technology at Colégio Técnico de Campinas - Unicamp
English, Portuguese, Chinese, Spanish