Computer vision engineer | Ultralytics YOLO | Open source contributor | Technical writer & marketer
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As a top contributor to Ultralytics YOLO, I develop real-time AI systems for object detection, segmentation, tracking, and pose estimation. I created Ultralytics Solutions, built to solve real-world computer vision challenges across sectors. My work spans AI system design, model optimization, and scalable deployment, powering applications from smart surveillance to industrial automation.
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With 47 K+ LinkedIn followers and 15 M+ impressions in the past year, I share open-source tools, technical tutorials, and research-driven insights to make Vision AI accessible for developers, startups, and enterprises.
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Project | Description | GitHub | Stars |
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YOLOv8 Object Tracking | Real-time object tracking using YOLOv8 with bounding boxes | View Repository | |
YOLOv7 Tracker | YOLOv7 tracking pipeline for computer vision tasks | Explore on GitHub | |
YOLOv5 Blur + Dashboard | Privacy-preserving object detection with blur & web dashboard | Check Project | |
YOLOv7 Segmentation | Instance segmentation with YOLOv7 for visual intelligence | Visit Repo | |
YOLOv7 Pose Estimation | Deep learning-based human pose recognition using YOLO | Access Project |
Click to expand
Title | Link | Date |
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YOLO11 Object Detection & Segmentation | Read on Medium | |
YOLO11 Real-Time Tracking in TrackZone | Read | |
Smart Parking with YOLO11 | Read | |
Workout Monitoring using YOLO11 | Read | |
Monetizing Vision AI Projects | Read | |
Top Resources to Learn CV in 2023 | Read | |
Roadmap for Vision AI Careers | Read |
Title | Link | Date |
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Pallet Racking Inspections (MDPI) | Read Paper | |
Diabetic Retinopathy – Exudate Detection (IEEE) | Read Paper | |
Rice Leaf Defect Detection (MDPI) | Read Paper | |
Comparative Study of YOLO Models | Read Study | |
Explainable AI for Drug Sensitivity (IEEE) | Read Paper | |
Training YOLOv8 on Custom Data | Read Guide | |
Speed Up Annotation Process | Read Tutorial | |
Becoming a CV Engineer – Ultralytics Blog | Read Feature |