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Shehzad Ahmed@Shehzad786
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7+ years of experience
About me
Shehzad Ahmed is an AI/ML Engineer with strong expertise in machine learning, deep learning, and computer vision. He specializes in building intelligent systems using Python and modern AI frameworks. His technical skill set includes machine learning algorithms, data preprocessing, feature engineering, deep learning architectures, and software development practices. Shehzad has worked on multiple AI-driven projects including document automation systems using OCR, fine-grained bird classification using deep learning models, and object detection systems using YOLO models. He has experience working with advanced architectures such as DenseNet and convolutional neural networks for image classification tasks. In addition to computer vision, he has experience with Natural Language Processing (NLP) and Retrieval-Augmented Generation (RAG) systems. He has worked with vector databases like Weaviate, open-source models from Hugging Face, and frameworks such as LangChain to build intelligent question-answering systems over code repositories. Shehzad is also interested in open-source large language models (LLMs) and their integration into real-world applications. His work focuses on developing scalable AI solutions that automate workflows, improve data processing, and deliver intelligent insights. He continuously explores new technologies in artificial intelligence, computer vision, and NLP to build innovative solutions and contribute to modern AI development.
