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mauryasameer/README.md

๐Ÿ’ซ About Me:

With over seven years of experience, I am a seasoned Data Scientist specializing in Generative AI project implementation, Large Language Models (LLMs) for financial services, Computer Vision, and Natural Language Processing (NLP). I have handson expertise in developing, validating, and deploying LLM-powered financial applications, ensuring compliance with AI regulations and model risk management frameworks. My technical proficiency encompasses Python and advanced deeplearning frameworks. I have led 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, providing a comprehensive understanding of the entire machine learning project lifecycle. Additionally, I possess expertise in Model Risk Management and stakeholder communication. I am also skilled in Responsible AI and cybersecurity, ensuring the development and deployment of secure, ethical, and compliant AI solutions that meet industry standards.

๐ŸŒ Socials:

LinkedIn

๐Ÿ’ป Tech Stack:

Keras NumPy scikit-learn Pandas SciPy TensorFlow Plotly PyTorch Redis MongoDB Python

๐Ÿ“Š GitHub Stats:




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  1. akshaybahadur21/Facial-Recognition-using-Facenet akshaybahadur21/Facial-Recognition-using-Facenet Public

    A simple implementation of facial recognition using facenets for humans ๐Ÿง” ๐Ÿ”

    Python 291 141

  2. image_captioning image_captioning Public

    Forked from DeepRNN/image_captioning

    Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"

    Python 2

  3. Malaria_detection Malaria_detection Public

    With the help of FastAI libraries building an malaria classifier with an 97% accuracy

    Jupyter Notebook 2

  4. Style_transfer Style_transfer Public

    This is just vanilla implementation of the style transfer with the help of VGG-16

    Jupyter Notebook 1

  5. S-P500_analysis S-P500_analysis Public

    In this repository, I have basically analyzed the S&P 500 stocks data and found various meaningful insights in the data.

    Python 1

  6. ocr_docker ocr_docker Public

    Multi-engine OCR evaluation suite with bounding box visualization, built on PaddleOCR/EasyOCR/Tesseract and served via Gradio Pluggable OCR framework supporting multiple engines with annotated outpโ€ฆ

    Python 1