Raghavendra Kamath

Raghavendra Kamath has a diverse work experience in the fields of software engineering, machine learning, data science, finite element analysis, and data analysis.

In 2013, they started their career as a Consultant Finite Element Analysis Engineer at Aktis Engineering Solutions, where they specialized in car crash analysis, heavy industries, consumer products, and aerospace seating. Their main responsibilities included meshing and setting up finite element models using Hypermesh and conducting analysis using LS-DYNA and Optistruct. Raghavendra worked in this role until June 2015.

In 2016, Kamath joined Consline AG as a Data Analyst for a brief period, from May to August.

During the same year, they also started working at Cevotec as a Finite Element Analyst, where they focused on the manufacturing of patch-based fiber reinforced composites. Raghavendra performed a literature study, investigated and implemented optimization algorithms using C++, and contributed to the development of the Artist Studio software suite until September 2018. Raghavendra also worked as a Master Thesis Student at Cevotec from January to August 2018, where they developed and implemented optimization algorithms for patch-based fiber reinforced composites.

From 2019 to 2021, Kamath joined Alexander Thamm GmbH as a Trainee Data Scientist and later became a Data Scientist. Raghavendra then took on the role of Senior Machine Learning Engineer from April 2021 to February 2023.

Currently, they are working as a Software Engineer (Devops/Backend) at automaited, starting from April 2023.

Raghavendra Kamath obtained a Bachelor's Degree in Mechanical Engineering from NMAM Institute of Technology, Nitte, Udupi between the years 2009 and 2013. Following this, they pursued a Master's Degree in Computational Science and Engineering at the Technical University of Munich from 2015 to 2018.