Rafael Müller is a Machine Learning Engineer with nine years of experience bridging cutting-edge research and production systems at companies like Twitter and Google. His background blends a PhD-era focus on optical communications and advanced modulation with hands-on ML and sensing work for optical networks, giving him rare domain expertise at the intersection of signal processing, information theory, and learning systems. At Google Brain he translated research-grade AI into practical insights, and at Twitter he now applies scalable ML to real-world product and infrastructure challenges. Rafael’s career began in academic and industrial research at Bell Labs and Télécom, so he brings rigorous experimental methodology alongside production engineering discipline. He is based in Old Toronto and is comfortable navigating both deep technical problems and cross-functional execution in high-impact teams.
9 years of coding experience
3 years of employment as a software developer
Master of Science (MSc), Digital Telecommunications Systems (Systèmes de Télécommunications Numériques), Master of Science (MSc), Digital Telecommunications Systems (Systèmes de Télécommunications Numériques) at Télécom Paristech/Université Pierre et Marie Curie
Udacity
Doctor of Philosophy (PhD), Optical Communications, Doctor of Philosophy (PhD), Optical Communications at Télécom SudParis
Bachelor of Engineering (BEng), Network Engineering (Engenharia de Redes de Comunicação), Bachelor of Engineering (BEng), Network Engineering (Engenharia de Redes de Comunicação) at Universidade de Brasília
Contributions:2 PRs, 4 pushes, 2 branches in 1 day
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