Ali Ahmad J.

I help AI teams build production-ready datasets and training computer vision models that actually work in the real world from precise image annotation to end-to-end object detection pipelines using YOLO. With a Mathematics degree (KIU) and an AI & Data Science diploma (NUST), I bring engineering-level rigor to every dataset I touch — not just raw labeling. What I deliver Data Annotation & Labeling Bounding boxes, polygons, semantic & instance segmentation, video tracking , keypoint annotation, and 3D bounding box labeling. I work with CVAT, LabelMe, Roboflow, and SuperAnnotate, and deliver in COCO, Pascal VOC, MOT and YOLO formats. Computer Vision & Model Training Object detection and image classification using YOLOv8/v9, OpenCV, TensorFlow, and PyTorch. I've built systems for weld defect detection, grapevine segmentation, and architectural floor plan analysis. AI Training Data Pipelines Dataset cleaning, preprocessing, augmentation, and quality validation — optimized for model convergence. I understand what makes a dataset trainable, not just labeled. ── Why clients trust me ── - 5-star rated on Upwork with proven delivery - Former CTO with hands-on experience building AI products - IBM & Google certified in Machine Learning and Data Analytics - Fast turnaround with 0–4 hour response time Ready to build a dataset that trains well? Click "Invite to Job" and let's scope your project.