Binar J.

I build production-ready computer vision systems using Python, YOLOv8, InsightFace, and OpenCV. I specialize in the full CV pipeline: detection → tracking (DeepSORT/ByteTrack) → embedding → similarity search (FAISS) → structured output. My work focuses on real-world conditions — varying lighting, crowded scenes, and high image volumes. I have hands-on experience with face recognition, object detection, video analytics, and pose estimation (MediaPipe). I'm comfortable working across the entire pipeline from raw video input to clean, structured results. I write clean, maintainable code and deliver systems that are reliable and easy to extend. Open to projects involving: Real-time video analytics & surveillance Face and person recognition at scale Object detection and tracking Pose estimation and movement analysis Python data pipelines & API integration (data scanning, filtering, automated logging) Arabic (Native) · Turkish (Native) · English (Fluent)