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Romain Desarzens has a diverse work experience in the field of software engineering and robotics. Romain is currently employed as a Software Engineer (Robotics) at iFollow since August 2022. Prior to this, Romain worked at NAVYA Group as a Software Engineer from February 2019 to October 2022. Romain also gained valuable experience as a Robotics Software Engineer at iFollow SAS from November 2017 to February 2019. Romain's career began with a Master Project at EPFL from September 2016 to March 2017. Romain then worked as a Research and Development Engineer Intern at TESA SA from February 2016 to July 2016. Romain's earlier work experience includes a role as a Student Assistant - Analysis III at EPFL from September 2014 to December 2014, and a Summer Internship at Nestlé in August 2013. Romain also had a Machining Internship at ETML, Ecole technique Ecole des métiers, Lausanne in July 2013.

Romain Desarzens pursued their education in a variety of fields, starting with their Bachelor of Applied Science (B.A.Sc.) in Microengineering from EPFL (École polytechnique fédérale de Lausanne), which they completed from 2010 to 2014. Romain continued their studies at EPFL and achieved a Master of Science (M.Sc.) with a minor in biomedical technologies in the field of Robotique et systèmes autonomes from 2014 to 2017.

In addition to their technical education, Romain also pursued music studies at the Conservatoire de musique de Genève from 2000 to 2014, earning a Certificat d'étude musicale in Piano performance. Prior to their time at EPFL, Romain completed their Maturité gymnasiale in Physique et application des maths at Gymnase de Nyon from 2007 to 2010.

Furthermore, Romain Desarzens has obtained several certifications, including a Nanodegree in Computer Vision from Udacity in 2020. Romain also acquired certifications in various machine learning topics from Coursera, such as Sequence Models, Deep Learning Specialization, Convolutional Neural Networks, Structuring Machine Learning Projects, Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, Neural Networks and Deep Learning, and Fundamentals of Reinforcement Learning, all completed in 2022.

Overall, Romain Desarzens demonstrates a diverse educational background in both technical and artistic fields, including engineering, music, and machine learning.