Summary
Arthur Gusmão is a Zurich-based Data Engineer with 10 years of experience bridging data science research and production-grade engineering across healthcare, telecom, and consumer businesses. He currently builds scalable data platforms at Apple and previously led end-to-end ML and data infrastructure projects—designing data lakes, CI/CD, IaC with Terraform, and DVC-backed model pipelines—at TRIQ Triathlon and the University of Zurich. His background includes patented ML solutions and cloud-native systems for real-time network monitoring at Ericsson and academic research that produced the first open-source tools for interpreting knowledge-base embeddings. Comfortable moving between code, architecture, and operational concerns, he emphasizes observability, cost-aware architecture, and high test coverage. Colleagues know him for driving engineering best practices—Clean Code workshops, reproducibility, and recruiting—while still shipping practical optimizations that materially cut AI build times.
10 years of coding experience
8 years of employment as a software developer
Engineer's degree, Electrical Engineering (Control and Automation), Engineer's degree, Electrical Engineering (Control and Automation) at Escola Politécnica da Universidade de São Paulo
Portuguese, English