Darshan KAILANCHA NAGARAJ

Robotics Control Engineer at Flux Auto

Darshan KAILANCHA NAGARAJ has a range of work experience in various engineering roles. Darshan is currently working as a Robotics Control Engineer at Flux Auto since 2021.

Prior to this, in 2019, they worked as a Vehicle Dynamics Engineer at ADESS AG. In this role, they were responsible for modeling and simulating the dynamics of a racing car using Matlab and Simulink. Darshan also conducted steady state cornering analysis, analyzed suspension systems, and designed torsion bars.

In 2019, Darshan had an internship at ISAT, where they worked on the design and development of a lateral controller for a level-4 autonomous vehicle. Their responsibilities included developing controllers for power steering, creating a path tracker algorithm, and testing the controller in simulation and prototype phases.

Before their internship, Darshan worked as a Project Trainee at Hindustan Aeronautics Limited in 2016. Darshan was involved in designing and fabricating a jig for the installation of an Infrared Radiation Suppressor System on an Advanced Light Combat Helicopter.

Additionally, Darshan completed an industrial training program at Hindustan Aeronautics Limited in 2015, although specific details of their role during that time are not provided.

Darshan KAILANCHA NAGARAJ obtained a Bachelor's degree in Mechanical Engineering from Visvesvaraya Technological University between 2012 and 2016. Darshan then pursued a Master's degree (M1) in Vehicle Dynamics at Polytech Orléans from 2017 to 2018. Following that, they furthered their education with a Master's degree (M2) in Vehicle autonome/ Intelligent Vehicles at ISAT from 2018 to 2019.

In addition to their formal education, Darshan KAILANCHA NAGARAJ has acquired several certifications. In September 2021, they completed the certifications for Matlab Fundamentals and Matlab Onramp from MathWorks. Furthermore, in October 2021, they obtained certifications in Control Design With Simulink, Image Processing, Introduction to Symbolic math, Optimization, Signal Prossing, and Simulink Onramp from the same institution.

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