Dan Bricarello joined Brambles in 2017 and over the last eight years has led a variety of computer vision and data science projects. Joining as a Data Scientist, he began working on methods to track Brambles’ wood pallets as they travel through their service center. Now, as a Computer Vision Lead, he leads a team of engineers working on AI-based computer vision technologies to track assets as they travel between regional service centers across the supply chain. The industrial machine vision systems deployed at Brambles generate millions of images monthly that need to be curated for use in developing object detection, image classification and action recognition AI models. Before joining Brambles, Dan earned a PhD in Applied Science Engineering from UC Davis with a research focus on analysis of images captured from bright field, fluorescent and scanning probe microscopy as well as thin film ellipsometry. He also holds a bachelor’s degree in Physics from UC San Diego.

Apurva Godghase is a Senior Computer Vision Engineer at Brambles with over seven years of R & D experience across diverse industrial domains. At Brambles, she specializes in designing and deploying cutting-edge machine learning and computer vision IoT prototypes to enhance supply chain efficiencies. Previously, at Spectrum, Apurva contributed to industrial IoT R & D, focusing on machine learning for wireless access, video analytics and predictive air quality modeling using edge device data. Her tenure at Lands’ End involved expertise in sales forecasting, pricing strategies and product similarity analysis. Apurva is a member of the Harvard Business Review Advisory Council, a research community of business professionals. Passionate about the convergence of computer vision, NLP and machine learning, she is dedicated to driving impactful advancements in technology and operational excellence.