Waqas N.

Computer Vision & AI |Object Detection, Segmentation & Data Annotation

👋 Looking to build by scratch, fine-tune, or deploy state-of-the-art Computer Vision AI models? I'm a Computer Vision Engineer with expertise in developing AI-powered vision systems for real-world applications. I help startups, research teams, and businesses build accurate, scalable, and production-ready computer vision solutions using modern deep learning techniques. My experience spans Object Detection, Multi-Object Tracking, Semantic Segmentation & Instance Segmentation, Image Processing, OCR, AI Data Annotation, and Vision Transformers, with a strong focus on delivering solutions that solve business problems rather than just training models. Whether you need a custom AI model, a complete computer vision pipeline, or high-quality annotated datasets, I can help from data preparation through deployment. What I Can Help You Build: Computer Vision ✔ Custom Object Detection (YOLOv8, YOLOv9, YOLOv10, YOLO26) ✔ Multi-Object Tracking (ByteTrack, DeepSORT) ✔ Semantic Segmentation & Instance Segmentation ✔ Object Counting ✔ Face Detection & Face Recognition ✔ OCR & Automatic Number Plate Recognition (ANPR) ✔ Medical Image Analysis, Medical Imagery ✔ Industrial Defect Detection ✔ Video Analytics ✔ Image Enhancement & Image Processing using OpenCV AI & Deep Learning ✔ Custom Deep Learning Model Development ✔ Transfer Learning & Fine-Tuning ✔ Vision Transformers (ViT, SegFormer, Swin Transformer) ✔ CNN Architectures (YOLO, U-Net, DeepLabV3+, MobileNet) ✔ PyTorch & TensorFlow Development ✔ Model Training, Evaluation & Optimization ✔ Edge AI Deployment Image Processing ✔ OpenCV Applications ✔ ROI Detection ✔ Feature Extraction ✔ Object Measurement ✔ Video Processing ✔ Medical Image Processing ✔ Automated Inspection Systems AI Data Annotation & Dataset Preparation I also specialize in preparing high-quality datasets for Computer Vision and Generative AI projects. Services include: ✔ Bounding Box Annotation, Polygon Annotation ✔ Semantic Segmentation Masks, Instance Segmentation ✔ Keypoint & Pose Annotation ✔ Video Annotation, Object Tracking ✔ OCR Annotation ✔ Quality Assurance (QA) ✔ Dataset Cleaning ✔ COCO, YOLO, Pascal VOC and Custom Formats ✔ Annotation Tools: CVAT, Roboflow, Label Studio, Supervisely, LabelImg, Technologies Languages & Frameworks: ✔ Python, PyTorch, TensorFlow, OpenCV, Hugging Face Deployment: ✔ FastAPIDocker, REST APIs, AWS Recent Project Experience: ✔ Vehicle Detection, Tracking & Counting using YOLOv8 + ByteTrack ✔ Automatic Number Plate Recognition (ANPR) for CCTV & Smart Parking Systems ✔ Real-Time Face Recognition & Attendance System with Anti-Spoofing ✔ Medical Lateral Flow Assay (LFA) Analysis using OpenCV ✔ RNFL ROI Extraction for Ophthalmology Imaging ✔ Flooded Area Segmentation from Aerial Images using Vision Transformers ✔ Road Damage & Pothole Detection Dataset Annotation ✔ Inventory Detection & Tracking for Smart Vending Machines ✔ Fashion Object Detection ✔ Small Object Detection for Insect Recognition Why Clients Work With Me: Strong Computer Vision & AI expertise Production-ready Python code Clean, well-documented solutions High-quality AI data annotation Excellent communication Reliable delivery and long-term support If you're looking for a Computer Vision Engineer who can transform your idea into a robust AI solution, I'd be happy to discuss your project.