Alex Torres is a Senior Software Developer and deep learning engineer with 12 years of experience building efficient neural network models and production software for constrained and embedded environments. He combines research-grade expertise—pursuing doctoral work at Unicamp—with hands-on systems experience in C++, CUDA/OpenCL acceleration, and Android JNI to deliver computer vision, ASR, and real-time AI solutions. His work spans model development (MobileNet, ResNet, EfficientNet, YOLO, Mask R-CNN, GANs) and low-level optimization for multi-GPU and embedded deployments, reflecting a rare full-stack AI-to-firmware skillset. At CPqD he engineered a compact NN engine and mock RIL for Android, and at SiDi led large 3D image processing and multi-GPU frameworks; he now applies that combination of algorithmic optimization and systems engineering at T-Pro. Based in Dublin, he is fluent in Python and modern C++ and known for marrying academic rigor with pragmatic, production-focused implementations that squeeze performance out of limited hardware.
12 years of coding experience
10 years of employment as a software developer
Integrated Circuit Design, Integrated Circuit Design at IC Brazil - NSCAD - UFRGS
Doutorado Computer Science, Doutorado Computer Science at Universidade Estadual de Campinas
Bachelor of Engineering (BEng) Computer Engineering, Bachelor of Engineering (BEng) Computer Engineering at Universidade Federal do Espírito Santo
High school, High school at Instituto Federal do Espírito Santo
Master's degree Microeletronic, Master's degree Microeletronic at Federal University of Rio Grande do Sul
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