Profiles search

Muhammad Naeem

Master's Student at Wuhan University
Wuhan Shi, Hubei, China
View resume Unlock resume

Skills

Machine Learning | Deep Learning | Computer Vision | Object Detection (YOLOv5, YOLOv8) | Image Segmentation | 3D Point Cloud Processing | Remote Sensing | PyTorch | Python (OpenCV, NumPy, Pandas) | TensorFlow | C++ | ROS | Generative AI | Git | Docker | Linux

About

Researcher with experience in deep learning, computer vision, and image generation spanning both industry and academia. Currently pursuing an MSc in Photogrammetry and Remote Sensing from Wuhan University (expected July 2026). I hold a BSc in Computer Science.
My expertise lies in computer vision, deep learning, and AI for 3D data and robotics. At Octaloop Technologies, I developed real-time weed detection for autonomous robots using YOLO and PyTorch, and worked on 3D point cloud segmentation and generative AI projects. My research focuses on 3D reconstruction from remote sensing imagery.
I am skilled in building practical AI solutions and eager to contribute to impactful research. Portfolio: https://muhammadnaeem27.github.io/