Summary
Roberto Júnior is a seasoned Software Engineer with 13 years of experience building scalable data, ML, and cloud systems, currently contributing at Snap after a multi-year tenure at Microsoft. He has led teams and technical projects that delivered high-impact results—reducing incidents by 23%, cutting data pipeline E2E time by 70%, and producing ML models with strong accuracy (R^2 up to 0.87) for VM power and CPU-profile prediction. His background blends applied research (MSc from UFMG with ACM SIGIR and ICDE publications) and production engineering across Azure, Spark/Databricks, and large-scale analytics platforms. Roberto excels at turning research ideas into operational solutions, demonstrated by deploying classification models with high F1 and building cost- and performance-conscious platforms that lowered compute/storage spend. Based in Kirkland, WA, he pairs a rigorous academic foundation in evolving ML for data streams with hands-on ownership of monitoring, CI/CD, and efficiency initiatives.
13 years of coding experience
14 years of employment as a software developer
Bachelor's degree, Computer Sciner, Bachelor's degree, Computer Sciner at Universidade Federal de Lavras
Master's degree, Computer Science, Master's degree, Computer Science at Universidade Federal de Minas Gerais
English, Portuguese