Maxime Portaz

Maxime PORTAZ

Maxime PORTAZ is a Research Scientist at Trax Retail, a company that provides computer vision and artificial intelligence solutions for the retail industry. He has a Ph.D. in Machine Learning and Deep Learning and is passionate about Computer Vision and Information Retrieval.

Professional Experience

• Research Scientist, Trax Retail (May 2020 - September 2021)

  • Worked on machine learning applications for frictionless stores, including people tracking, action recognition, and object detection
  • Used Python, Keras, TensorFlow, and PyTorch to deliver impactful solutions12

• Research Scientist and Product Owner, Qwant (November 2018 - April 2020)

  • Contributed to the development of a new Image Search Engine based on NLP and CV with deep learning
  • Worked with a diverse range of tools, including PyTorch, Go, Rust, Kubernetes, Graphcore IPUs, Vespa, Kafka, and TensorRT1

• Graduate Research and Teaching Assistant, LIG - Laboratoire d'Informatique de Grenoble (September 2015 - October 2018)

  • Worked on deep learning for image classification, similarity learning, and scene recognition
  • Taught C, Python, Algorithms, and Unix for 3 years at Grenoble Alpes University1

Education

• Ph.D. in Machine Learning and Deep Learning, Université Grenoble Alpes1

Skills

• Machine Learning, Deep Learning, Computer Vision, Information Retrieval
• Python, Keras, TensorFlow, PyTorch, Go, Rust, Kubernetes, Graphcore IPUs, Vespa, Kafka, TensorRT
• C, Python, Algorithms, Unix