Shiva Agrawal
Angestellt, Research Associate, Technische Hochschule Ingolstadt
Abschluss: Masters, Hochschule Darmstadt
Ingolstadt, Deutschland
Werdegang
Berufserfahrung von Shiva Agrawal
Area: Sensors & Sensor Data Fusion in IIMo (Institute for Innovative Mobility) for smart Infrastructure development & Autonomous Driving
3 Jahre und 11 Monate, Feb. 2017 - Dez. 2020
Algorithm and System developer - ADAS sensors
Automotive Safety Technologies GmbH (AUDI AG company), Ingolstadt, Germany
Radar sensor error model development for driver assistance system
Radar sensor data analysis for driver assistance system. Development of automatic evaluation software for radar sensor system in MATLAB using object oriented programming
11 Monate, Juli 2013 - Mai 2014
University Lecturer
Mumbai University
Lecturer at Mumbai University and taught control system and mechatronics to engineering bachelor students.
11 Monate, Juli 2012 - Mai 2013
Graduate Trainee Engineer
Petrofac Engineering India Pvt. Ltd
Trainee in Department of Instrumentation engineering. Worked in the field of process Automation. Assisted on three major oil and gas projects during the total tenure.
Ausbildung von Shiva Agrawal
2 Jahre und 6 Monate, Okt. 2014 - März 2017
Elektrotechnik und Informatik
Hochschule Darmstadt
2 Jahre und 4 Monate, Okt. 2014 - Jan. 2017
Masters in Electrical Engineering and Information Technology
Darmstadt University of Applied Sciences
C and C++ programming, Control system, Robotics, Embedded software development, sensor and signal processing, Matlab programming, model based software development in Simulink, Industrial 6 months internship and Master thesis (Avg. Grade - 1.6 as per German system)
3 Jahre und 11 Monate, Aug. 2008 - Juni 2012
Bachelor in Instrumentation and Control
University of Mumbai
Analog and digital electronics, embedded system design, signal conditioning and circuit design, C++ and Java programming, feedback control systems, digital control systems, Labview and electrical machines
Sprachen
Englisch
Muttersprache
Deutsch
Gut