Raphael Wirth

Raphael Wirth is a software engineer with experience in various industries. In their current role at Verdant Robotics since 2022, they have contributed to projects involving the transition to a Pytorch-based model pipeline and improving training efforts for new crops.

Prior to this, Raphael worked as a robotics engineer at Dexterity, Inc. from 2019 to 2022. Here, they played a crucial role in the development of a robot singulation station deployed at logistics companies, leading to multiple patents. Raphael also worked as a computer vision intern at Dexterity, Inc. in 2019, where they gained practical experience in robotics, computer vision, and Python programming.

Raphael's work experience also includes a position as a student research assistant at the Karlsruhe Institute of Technology (KIT) in 2018, where they developed a system for project submission in the KIT robot lab. Additionally, they spent a semester as an exchange student at Universitat Politècnica de Catalunya in 2017 and worked as a software development engineer at SICK Sensor Intelligence from 2014 to 2015.

Overall, Raphael Wirth has demonstrated expertise in software engineering, robotics, computer vision, and project management throughout their career.

Raphael Wirth completed their Bachelor of Engineering (BE) degree in Computer Science from Duale Hochschule Baden-Württemberg (DHBW) Karlsruhe from 2011 to 2014. Raphael then pursued their Master of Science (MS) degree in Computer Science at Karlsruhe Institute of Technology (KIT) from 2015 to 2019. In addition to their formal education, they also obtained a certification in Machine Learning from Coursera in July 2021.