Nauman Maqsood

AI & Computer Vision Engineer specializing in machine learning, image processing, and real-time perception systems. Experienced in developing end-to-end vision solutions, optimizing models for edge deployment, and working with Python, C++, and modern software development tools. Strong focus on building robust, production-ready computer vision applications.

Master Thesis: Geometry-Aware Domain Adaptation for LiDAR-Based 3D Object Detection Across Automotive and Robotics Platforms at Coburg University of Applied Sciences & Arts (2026-03 – Present)

• Researching geometry-aware Deep neural networks for LiDAR-based 3D object detection, focusing on Perception and spatial structure.
• Exploring Transformers and CNN architectures for point cloud processing to capture geometric relationships.
• Investigating multimodal learning approaches for spatial perception tasks.
• Technologies: Python, PyTorch, Transformers, Deep Learning, GitHub, Linux.

AI Software Developer (Working Student) at Fraunhofer IIS (EZRT) (2025-11 – Present)

• Designed and deployed end-to-end DL pipelines for 3D vision systems, covering data ingestion, training, evaluation, and deployment.
• Trained and optimized CNN-based and volumetric models for real-time perception, with a focus on accuracy and latency trade-offs.
• Optimized inference performance using TensorRT and CUDA, enabling efficient deployment on HPC clusters.
• Collaborated with international clients to deliver production-ready vision-based solutions.
• Applied agile development practices, version control (Git), and containerization (Docker).
• Technologies: Python, PyTorch, ONNX, TensorRT, Docker, Linux, GitLab, HPC

Autonomous Driving Engineer (Working Student) at Valeo Schalter und Sensoren GmbH (2024-07 – 2024-12)

• Designed and implemented LiDAR-based perception algorithms for object detection in ADAS systems.
• Contributed to system integration, testing, and validation of perception pipelines.
• Documented system architecture and supported cross-functional development teams.
• Technologies: Python, C++, PyTorch, PCL, ICP Algorithm, LiDAR, ADAS, Linux, Automated Testing

Electronics Development of Sensors & Actuators (Trainee) at Vitesco Technologies GmbH (2022-10 – 2023-08)

• Performed hardware-software integration and validation for sensors systems.
• Conducted data analysis and experimental validation using automated testing frameworks, oscilloscopes, and power electronics equipment.
• Documented test results and presented findings to engineering stakeholders using MS Office.
• Technologies: Python, Data Analysis, Power Electronics, Oscilloscope, DMM, Power Supply

Electrical Engineer at Pakistan Security Printing Corporation Karachi, Pakistan (2018-01 – 2021-08)

• Managed project execution, including planning, resource allocation, and on-site coordination.
• Reduced system downtime by 18% through structured fault analysis and preventive maintenance strategies.

Master of Engineering in Autonomous Driving – Hochschule Coburg (2024-03)

Bachelor of Science in Electrical Engineering – Mirpur University (MUST) (2013-10 – 2017-09)