Jamsheer Hussain

AI and Computer Vision Engineer with hands-on experience in object detection, segmentation, and pose estimation using YOLOv8. Proficient in Python, PyTorch, Keras and classical machine learning techniques. Experienced in dataset collection and annotation using Roboflow, model training and fine-tuning for improved detection accuracy and real-time inference, and deployment-ready solutions for robotics and drone-based vision applications.

Demonstrated ability to build box segmentation solutions for warehouse robotics and implement real-time vision prototypes for practical use-cases.

Computer Vision Intern - I Hub Robotics

(2025-09)

• Designed and implemented computer vision pipelines for object detection, segmentation, and pose estimation using YOLOv8.
• Built and curated large-scale image datasets and performed bounding-box and polygon annotations using Roboflow to support model training.
• Trained and fine-tuned YOLOv8 models using PyTorch, focusing on improving detection accuracy and real-time inference performance.
• Developed a box segmentation solution for warehouse robotics to determine package center points for humanoid robot grasping.
• Contributed to vision-based systems including drone-based pothole detection and human body measurement using pose estimation.

GIS Intern - I Hub Robotics

(2025-08 - 2025-09)

• Worked as an AI Intern focusing on hands-on AI/CV tasks including dataset collection, preprocessing, model training and evaluation.

Diploma - AI and Robotics - I hub robotics (2025)

12th - English

10th - English