Summary
Guilherme Dinis is a PhD candidate and Senior Machine Learning Engineer based in Stockholm with 12 years of experience building ML-driven products and distributed systems. He combines formal training in data science with hands-on experience at Spotify, where he progressed from thesis work on churn prediction to developing and deploying large-scale ML solutions. His background spans recommender systems, search and information retrieval, HPC grid administration, and production ML engineering—reflecting a rare blend of research rigor and production-first mindset. Guilherme has led small engineering teams and architected SaaS recommender platforms, while his academic work keeps him engaged with cutting-edge methods in ML and distributed computing. Colleagues would note his innate curiosity and habit of connecting research insights to pragmatic system design, often surfacing non-obvious optimization opportunities in data pipelines.
12 years of coding experience
6 years of employment as a software developer
Masters of Data Science, Computer Science, Masters of Data Science, Computer Science at KTH Royal Institute of Technology
Information & Communication Technologies, Software Engineering, Information & Communication Technologies, Software Engineering at Universiti Teknologi Petronas
Masters of Data Science, Computer Science, Masters of Data Science, Computer Science at Universidad Politécnica de Madrid
English, Portuguese, Spanish