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Raghavendra Kamath has a diverse work experience spanning various industries and roles. Raghavendra started their career at Aktis Engineering Solutions as a Consultant Finite Element Analysis Engineer, where they primarily worked in car crash analysis, heavy industries, consumer products, and aerospace seating. Raghavendra'sresponsibilities included meshing and setting up finite element models using Hypermesh and conducting analysis using LS-DYNA and Optistruct.

In 2016, Raghavendra joined Consline AG as a Data Analyst for a brief period before moving on to Cevotec. At Cevotec, they initially worked as a Finite Element Analyst, focusing on the development and implementation of optimization algorithms for manufacturing patch-based fiber reinforced composites. Later, they worked as a Master Thesis Student, where they conducted a literature study on the subject, investigated and implemented optimization algorithms using C++ for Cevotec's Artist Studio software suite.

In 2019, Raghavendra joined Alexander Thamm GmbH, where they had multiple roles. Raghavendra started as a Werkstudent Data Scientist before progressing to the role of Trainee Data Science. Raghavendra then worked as a Data Scientist, where they applied their skills in machine learning and data analysis. Finally, they served as a Senior Machine Learning Engineer, taking on more responsibilities in the development and implementation of machine learning algorithms.

Most recently, Raghavendra worked at automated as a Software Engineer with a focus on DevOps and Backend development.

Raghavendra Kamath completed their Bachelor's degree in Mechanical Engineering from NMAM Institute of Technology, Nitte, Udupi during the period of 2009 to 2013. Raghavendra then pursued a Master's degree in Computational Science and Engineering from Technical University of Munich, which they completed from 2015 to 2018.