Machine Learning (TensorFlow Core)
Hugo has worked with Machine Learning and Computer Vision since 2016 when he founded a startup to solve data tracking and inventory control problems in coffee warehouses through Radio Frequency and Image processing. Since then, he has used Machine Learning to solve a variety of problems. From indoor scenes classification and image anomalies recognition until building platforms to perform real-time Deep Learning inferences. He is an open-source enthusiast and loves to share his new findings with the community through talks, blog posts, and repositories on GitHub. He also gives mentoring to his local startup ecosystem to help businesses to get started and he is part of the TensorFlow.js global working group.