Faiyyaz Hangad

I’m Faiyyaz Hangad, a Full Stack AI Engineer specializing in Computer Vision, Deep Learning, and LLM based automation.
I’ve trained over 10 YOLO models for chest X ray analysis, detecting abnormalities such as Atelectasis, Fractures, NG tubes, and Pacemakers with around 90% accuracy. I’ve implemented ResNet and DenseNet classifiers for disease detection and adapted nnU Net for medical image segmentation tasks like stroke localization and FLAIR abnormality detection.
My experience includes integrating Large Language Models Qwen, GPT, LLaMA, Gemini for OCR pipelines that extract structured data from claims, invoices, and handwritten medical documents with 85%+ accuracy.
I’ve developed and deployed full stack AI applications such as CXR.Insightz, Stroke Insightz, and InfoXtract on Azure Cloud using Python, Streamlit, Docker, and cloud native architectures. Other projects include MultiBot, a multimodal chatbot for media analysis, and a collaborative filtering Book Recommendation system.