I build end-to-end architectures to train, validate, and deploy deep learning models across local and cloud environments, delivering reproducible, production-ready solutions to complex problems. I specialize in computer vision and pipeline automation for GPU-intensive workflows, bridging academic research with practical implementation in real-world scenarios.
For years, I worked on data pipelines for Netflix and Amazon Prime productions, developing image processing workflows and handling large-scale data across collaborative environments. This experience allows me to integrate cutting-edge technology into demanding creative and technical contexts with high standards of quality.