Machine Learning Engineer and Data Scientist with experience developing and deploying sophisticated AI models. Proven track record of delivering high-impact projects, such as achieving 89% accuracy in predicting coronary heart disease using advanced classification models and surpassing state-of-the-art performance in food image recognition with TensorFlow. Proficient in Python, Scikit-Learn, TensorFlow, and a range of essential ML libraries, with hands-on expertise in data preprocessing, feature engineering, and model evaluation. Adept at collaborative work and problem-solving.
- London, United Kingdom
- wahidulalamriyad.com
- in/wahidulalamriyad
Highlights
- Pro
Pinned Loading
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qa_on_private_documents_rag
qa_on_private_documents_rag PublicDeveloped an advanced question-answering system utilising the OpenAI, Pinecone, and LangChain (OPL) stack, enabling dynamic information retrieval from nonpublic or recent documents not covered in t…
Jupyter Notebook
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skimlit
skimlit PublicReplicated a cutting-edge NLP model from the 2017 paper "PubMed 200k RCT" to classify sentences in medical abstracts sequentially, using the dataset of ~200,000 labelled Randomised Controlled Trial…
Jupyter Notebook
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food_vision_big
food_vision_big PublicDeveloped the Food Vision Big model using TensorFlow, surpassing the performance of the 2016 DeepFood CNN model with an accuracy of 80.2% on the Food101 dataset comprising 101,000 images. Implement…
Jupyter Notebook
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classification_models_for_coronary_heart_disease
classification_models_for_coronary_heart_disease PublicConducted research and developed a system under Dr Jixin Ma on the comparison of numerous classification models to predict coronary heart disease using past medical data from the UCI Machine Learni…
Jupyter Notebook
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Smart_Analysis_System
Smart_Analysis_System PublicConducted research and developed a system under Dr Hamam Mokayed on an intelligent analysis system for juvenile safety against gun violence using facial recognition technology by utilising real-tim…
JavaScript 3
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Vehicle_Intelligent_System
Vehicle_Intelligent_System PublicThe proposed algorithms that have been used in this Project are Saliency, Background Subtraction, K-Means, Dilation, Erosion, Blob, and YOLO. The YOLO v3's accuracy in the project is faster and mor…
C++ 1
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