Antoni Martorell is a Technical Team Lead based in Barcelona with 8 years of hands-on experience building industrial vision systems and automation solutions. He combines an Electronic Engineering degree with a Master's in Artificial Intelligence and is currently augmenting his skill set with project management studies, bridging technical depth and delivery discipline. His career spans practical vision toolchains (Halcon, C#, WPF), PLC design for motion and production control, and CNN-based defect classification using Keras/PyTorch. Antoni also contributes to scientific open-source work鈥攊mplementing finite element routines and quadrature support in the Julia Gridap.jl project鈥攈ighlighting a strong numerical and back-end engineering background not obvious from his industrial roles. Known for shipping end-to-end solutions from embedded pick-and-place vision to desktop orchestration apps, he steers teams toward reliable, production-ready AI vision deployments. He brings a pragmatic mix of research-level computation and factory-floor engineering to complex automation challenges.
8 years of coding experience
8 years of employment as a software developer
Master en Direcci贸 y Gesti贸n de Proyectos Project Management, Master en Direcci贸 y Gesti贸n de Proyectos Project Management at EAE Business School
Master of Artificial Intelligence, Master of Artificial Intelligence at VIU - Universidad Internacional de Valencia
Grado en Ingenier铆a Electronica Industrial y Automatica (GEEIA) Ingenier铆a el茅ctrica y electr贸nica, Grado en Ingenier铆a Electronica Industrial y Automatica (GEEIA) Ingenier铆a el茅ctrica y electr贸nica at Universitat de Girona
Grid-based approximation of partial differential equations in Julia
Role in this project:
Back-end Developer
Contributions:34 commits, 10 PRs, 15 pushes in 1 year 10 months
Contributions summary:Antoni primarily focused on implementing and modifying functionalities related to finite element methods within the Gridap.jl library. They implemented and refactored functions such as `compress` and `compress_contributions` which are essential for assembling and manipulating matrices and vectors in the context of finite element analysis. The contributions also involved adding new quadrature rules and tests for Bezier finite elements, improving the numerical methods and overall functionality of the library.
Contributions:58 pushes, 20 branches in 3 years 5 months
fenicsfinite-element-methodspetscembeddedjulia
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