Dilip Manjunath

Master Thesis Title: Optimization of Delivery Routes for Connected Vans using Deep Neural Networks - Provided IT solution for last mile delivery in a Daimler project called Cargo Space Engineering - Route Optimization, efficient utilization of the cargo space engineering for Mercedes-Benz vans - Investigation of the vehicle routing problem using Neural Networks - Implementation of the selected recurrent networks and reinforcement learning algorithm using open source software TensorFlow

Developed Test Automation for Car Telematics Control Unit: - Creation of test automation for connected vehicles using Telematics Control Unit

- Development of test suite for MLC Controllers firmware using C++ on visual studio - Communication between test suite and firmware was through OPC UA which was in compliance with Industry4.0/IoT

Experience of 2.9 years in C++, JAVA and DataBase Design, Development & Testing. Programming for Bosch Automotive diagnostic tools. Experience of working in complete product cycle. Deputed to Robert Bosch GmbH, Plochingen (Germany) for Vehicle Diagnostic Software Development, Vehicle/ECU testing, on the spot defect analysis and spot bug fixing in the following duration - Sept 2012 to Mar 2013.