Hello! I'm Daffer Queque, an experienced (3+ years) Robotics Software Engineer and AI developer specializing in autonomous vehicles, computer vision, ROS, machine learning, sensor integration, and navigation systems.
Description: Deployed YOLO NAS on Jetson Orin AGX with TensorRT FP16 in ROS2, achieving 24 FPS, 0.97 mAP, 0.89 Precision, 0.93 Recall. Enhanced with C++ for 2D to 3D conversion and EKF SLAM. Represented Politecnico di Milano at the 2024 Field Robotic Event in Germany. Github
Description: Led Level 3 autonomous navigation in GPS-denied underground galleries using RGB, thermal cameras, and 3D LIDAR with ROS and C++. Implemented YOLO V8 and YOLO NAS on Jetson Orin AGX, achieving 0.91 mAP and 30 FPS. Showcased the system at PERUMIN 2023, an international mining fair. Videos
- Programming Languages: Python, C++.
- Robotics Frameworks: ROS 1/2 (Robot Operating System), Gazebo, NAV1/2, Isaac Sim Nvidia.
- AI Frameworks: Pytorch, Tensorflow.
- Tools and Technologies: Git, Docker, Jupyter.
- Operating Systems: Ubuntu, Windows.
- Email: daffer.queque@outlook.com
- LinkedIn: linkedin/daffer-queque