Hi, I’m Madiha Iqbal, an AI Engineer specializing in Computer Vision, Generative AI, and Multimodal AI systems. I design end-to-end AI solutions using Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Vision-Language models, with hands-on experience in semantic segmentation, structural damage detection, and architectures like DeepLabV3, SegFormer, U-Net, YOLOv8, and EfficientNet.
I’m proficient in Python, PyTorch, LangChain, FAISS, Hugging Face, FastAPI, and Flask. I have built RAG-based systems including a Medical RAG Chatbot powered by Llama 3.2, and source-grounded document retrieval. I’m currently focused on multimodal AI, AI agents, computer vision, and LLM-powered applications, with interests in deploying intelligent systems that combine vision, language, speech, and knowledge retrieval.
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