Summary
Laio Seman is a software engineer with a decade of experience and a PhD in Electrical Engineering from Universidade Federal de Santa Catarina, specializing in optimization methods and deep learning. Based in Santa Catarina, Brazil, he blends rigorous academic research with practical engineering to tackle complex ML and optimization problems. His background suggests deep familiarity with algorithm design, mathematical modeling, and the experimental workflows that move research into reliable software. Though primarily research-focused, he brings an engineer’s mindset for implementation and reproducibility across projects. Colleagues would likely find him effective at bridging theory and production-ready systems while mentoring on rigorous evaluation and model optimization.
10 years of coding experience
PhD, Electrical Engineering, PhD, Electrical Engineering at Universidade Federal de Santa Catarina