Pau Carré is a data science and software engineer at Gilt. Pau has 10 years of experience encompassing software security, IT management, microwave networks profiling, quality engineering and currently deep learning in fashion industry. He holds a Bachelors and Masters degree in Computer Sciences from the Universitat Politècnica de Catalunya.
At Gilt, we are reshaping the fashion industry by leveraging the power of GPU accelerated deep neural networks hosted on Amazon Web Services. Our deep neural network classifier uses product images and text description to predict product facets, such as silhouette type for dresses or heel type for shoes. Additionally, our deep learning similarity system detects visually similar products, extracting features from product images and storing them in a dense vector database for fast retrieval. Through our faceting and visual similarity detection, we’re able to improve product recommendations and product filtering for our customers. Come learn about the architectures and theory powering our systems.