Davi Sala is a Machine Learning Engineer with a decade of experience bridging academic research and industrial deployment, most recently at Teledyne FLIR after completing a PhD at imec/IDLab. His work focuses on data-driven ML for industrial processes, combining multivariate time-series, signal processing, and computer vision to deliver explainable models for tasks like temperature prediction and surface-defect detection in steel casting. Trained as a computer and electrical engineer with a background in robotics and control, he has hands-on experience translating process-engineer needs into actionable, production-ready insights. He is comfortable across the stack from sensor signal processing to deep learning frameworks, and has an uncommon strength in marrying physical-process understanding with data-centric model development.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Universiteit Gent
Bacharelado em Engenharia, Computer Engineering, Bacharelado em Engenharia, Computer Engineering at Universidade Estadual do Rio Grande do Sul
Contributions:2 PRs, 2 pushes, 1 branch in 8 months
deep-learningpytorchmachine-learning
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Davi Sala - Machine Learning Engineer at Teledyne FLIR