With over six years of experience, I am a seasoned Data Scientist specializing in Computer Vision, Natural Language Processing (NLP), Large Language Models, and Generative AI. My technical proficiency encompasses Python and advanced deep-learning frameworks. I have spearheaded significant computer vision and deep learning projects, particularly tailored for edge computing environments. My portfolio includes deploying various deep-learning solutions on platforms such as AWS, Heroku, and Azure. This diverse experience has provided me with a comprehensive understanding of the entire machine learning project lifecycle. Additionally, I possess expertise in Model Risk Management and Responsible AI, ensuring the development and deployment of robust, ethical AI solutions.
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Bank Of America
- New Delhi, India
- mauryasameer.com
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akshaybahadur21/Facial-Recognition-using-Facenet
akshaybahadur21/Facial-Recognition-using-Facenet PublicA simple implementation of facial recognition using facenets for humans π§ π
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image_captioning
image_captioning PublicForked from DeepRNN/image_captioning
Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
Python 2
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Malaria_detection
Malaria_detection PublicWith the help of FastAI libraries building an malaria classifier with an 97% accuracy
Jupyter Notebook 2
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Style_transfer
Style_transfer PublicThis is just vanilla implementation of the style transfer with the help of VGG-16
Jupyter Notebook 1
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S-P500_analysis
S-P500_analysis PublicIn this repository, I have basically analyzed the S&P 500 stocks data and found various meaningful insights in the data.
Python 1
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