Summary
Shashwat Pandey is a Master’s student in Autonomous Systems based in the Cologne-Bonn region with eight years of hands-on experience building perception-driven robotic systems and industrial computer vision pipelines. He combines low-level C/C++ and ROS1/ROS2 expertise with deep learning model development and edge deployment skills—optimizing ONNX models and running real-time inference on camera hardware and constrained devices. His work spans LiDAR and Intel RealSense depth sensors, SLAM, 6D pose estimation, semantic segmentation (Vision Transformers) and productionized inspection systems using YOLOv8 and MobileNetV2. He has driven full-stack solutions from data acquisition to visualization and validation, including multi-threaded desktop tools and Raspberry Pi edge deployments. Comfortable switching between research and engineering, he’s producing an industrial-focused Master’s thesis at SICK on ToF camera-based human detection that merges safety-aware perception with Edge AI optimization.
7 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Autonomous systems, Master of Science - MS, Autonomous systems at Bonn-Rhein-Sieg University of Applied Sciences
PCM with CS, PCM with CS at Vivekanand School
BTech - Bachelor of Technology, Electrical and Electronics Engineering, 8.953 / 10.0, BTech - Bachelor of Technology, Electrical and Electronics Engineering, 8.953 / 10.0 at Bharati Vidyapeeth's College of Engineering, New Delhi, India
Hindi, German, English