Zeeshan J.

Computer Vision & OCR Specialist | Machine Learning | Top Rated

Hi, I'm Zeeshan 👋 Give me something to build and i'll build it so it works for you 24/7. Thats my promise! If you shoot me a invitation or message ill send you a personalised loom video back on how i may be able to help you!... I’m a Computer Vision & Document AI Engineer with more than half a decade of experience building production-grade image and video intelligence systems not demos, not notebooks. My core expertise is image processing and computer vision, especially where data is messy, multilingual, scanned, or operationally constrained. What I Actually Build: 1. OCR & Document Image Processing I design end-to-end OCR pipelines for real-world documents: Urdu & English OCR (printed + complex layouts) Preprocessing: binarization, skew correction, denoising, layout analysis Text detection & bounding-box post-processing Tesseract, custom deep-learning OCR, Pix2Text Searchable archives using FAISS & vector indexing 2. Computer Vision for Images & Video I build vision systems that generate usable metadata: Object detection, tracking, segmentation (YOLO-based pipelines) Video-to-metadata systems for analytics and downstream automation Image classification and visual feature extraction High-performance OpenCV + PyTorch pipelines 3. Vision-Driven AI Applications When needed, I wrap CV systems into clean, usable products: Flask / FastAPI backends for vision services OCR-powered document portals Image & video search using embeddings RAG pipelines only where they add real value I’m a strong fit if you need image processing, OCR, or computer vision systems that must actually work in production especially for scanned documents, archives, or video data. EXPERTISE: AI Automation | Computer Vision | Sports Analysis | Image Processing | OCR | Mediapipe | Landmarks detection | Object Detection | Object Classification | Doucment Automation | Deep Learning | RAG | Tensorflow | PyTorch | Sign Language Production | GANs | Diffusion Models | Vision Transformers