Ing. Sharat Gujamagadi

Department: Crow-Analytics Working on offline ADAS data analytics. Involved in data mining system to find the anomaly detection from data collected by Mercedes Cars to improve ADAS safety.

Department: Automation - Architecture & AI-Technology Master thesis title : Development of a temporal consistency loss function to improve the performance of deep neural networks Technologies: Computer Vision, Deep Learning, Automated driving, AI safety, Robustness Tools & Programming language: PyCharm, Python, PyTorch, Numpy, Opencv, Git, Latex

Department: Automation - Architecture & AI-Technology Task- Research and development of state-of-the-art high resolution semantic segmentation and object detection network for automated driving. Technologies: Computer Vision, Deep Learning, Automated driving, AI safety Tools & Programming language: PyCharm, Python, PyTorch, Numpy, Container platform Openshift

Activities: 1. Developing and implementing new software features in engineering system according to the business need using Object Oriented Programming 2. Development of specific module functionality in Agile methodology according to Software Development Life Cycle 3. Active player in Peer reviews and suggesting cognitive ideas to utilize the framework efficiently 4. Implementing Unit test cases to improve code coverage and quality using Junit and Mackito

- Machine learning - Computer vision - Database and web technologies - Software Platforms for Automotive Systems - AUTOSAR software platform.

- Automotive Sensors and Intelligent Systems - Automotive Electronics - 8051Microcontroller - Analog and Digital Communication - Data Structures