Varatharajan Raja

Computer vision | Deep learning | Künstliche Intelligenz

• Master-Thesis in the topic of self-supervised LiDAR perception for 3D Object Detection in Autonomous Driving. • Looking into an optimal self-supervised learning approach to build an auxiliary task for the network.

Voluntary intern in the department of pre-development. Working on task like 3D semantic segmentation of Garden using point cloud data. Replicating the ideas from famous neural networks like SalsaNext/RandLA-Net using datasets like Semantic3D/RELLIS3D. Annotation of the 3D data with CloudCompare. Writing python scripts to infer the results from the prediction. Worked also on the blender python for 3D segmentation of the 3D Mesh Data.

• Arbeitete als Software-Ingenieur in der Mainframe-Technologie und erwarb gute Kenntnisse in der Analyse von Geschäftsanforderungen. Verwaltete die Fehler und löste sie in der vorgegebenen Zeit. • Kenntnisse in COBOL, JCL, DB2, MySQL, ChangeMan, Jobtrac und Scheduling. Grundkenntnisse in CICS und VSAM. Kenntnisse in der RTC- und RDZ-Anwendung zur Förderung der Komponentenänderungen in UAT-Regionen sowie in der Produktion.

- Statistics - Image Processing for automated production systems - Digital Signal Processing and Machine Learning - Reliability Of Mechatronic System - Mechanical Design - Model Based Development - Materials From Renewable Resources - Advanced Digital Communication - Electronic Packaging and Manufacturing - Modern Project Management - Intercultural Training - Deutsch B2

- Engineering Mathematics - Computer Network - Computer Architecture - Electronic Circuits - Circuit Theory - Digital Electronics - Digital Communication - Digital Signal Processing - Wireless Communication - Control Systems - Object Oriented Programming and Date Structure - Microprocessor and Micro Controller - RF & Microwave