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zerocool95/README.md

I work on building and implementing AI integrated solutions for business use cases across multiple domains specifically computer vision and natural language processing.Having participated in various machine learning hackathons I have an exposure to structured machine learning pipelines.

I have experience in building models and solutions for edge devices such as jetson nano, google coral.

  • Currently working at Google, improving user experience through ML on Android devices.

  • Previously I was working in Amazon One research team. Focus areas : MLOps, Workflow Orchestration, Automation and Training/Inference optimization.

  • Would love to collaborate on research projects related to deep learning on scale.

  • You can reach out to me on "[email protected]"

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  1. Signature-Forgery-Recogntion Signature-Forgery-Recogntion Public

    My Rank 2 solution for AxisBank Signature Recognition Challenge.

    Jupyter Notebook 5 2

  2. ZS-DataScienceChallenge2019 ZS-DataScienceChallenge2019 Public

    My(Top 0.5%) solution for ZS Data Science Challenge 2019.

    Jupyter Notebook 1

  3. DataStructures-Algorithms DataStructures-Algorithms Public

    This has some resources i have gone through and some snippets i use for faster implementation!

    C++

  4. DataAugmentation DataAugmentation Public

    Contains scripts to increase the number of images in a data set or simply to increase the size of data set for better model training.

    Python 1

  5. PythonWebScrappers PythonWebScrappers Public

    Web Scrappers for different websites written in python.

    Jupyter Notebook 1

  6. ImageClassificationAutomate ImageClassificationAutomate Public

    Python 1