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ganeshparsads/README.md

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Hi There!

I'm Ganesh Prasad Shivakumar, an experienced leader who is passionate about building high impact teams and systems that enhance user experience and/or user value. My areas of interest include Recommendation Systems, Personalization, Marketing Technology, Growth, Online Advertising, LLMs, and Generative AI.

With over 7+ years of Machine Learning and Software Engineering experience in e-commerce Search and Relevance, I am a passionate and innovative research engineer who specializes in deep learning, Natural Language Processing, and generative AI. My mission is to leverage AI for social good and to create positive impact in the world. I worked at Amazon and AmazonRobotics, where I focus on integrity for Data Gathering, Data Lakes, Data Partitioning, Generative AI, semantic segmentation, MultiModal Transformers, LLMs.

🔧 Technologies & Tools

🚀 GitHub Stats

Ganesh's GitHub Stats

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Pinned

  1. OutFitCompatibility OutFitCompatibility Public

    Project predicts OutFits Compatibility using Bi-LSTM, Resnet by using Polyvore OutFits dataset.

    Jupyter Notebook 1

  2. NER NER Public

    Basic NER Experiements

    Jupyter Notebook 1

  3. Translation-and-QnA Translation-and-QnA Public

    Forked from harshithsheshan/Translation-and-QnA

    BERT based translator and QuestionAnswering implementation for regional languages.

    Jupyter Notebook 1

  4. Clustering-Real-World-Images Clustering-Real-World-Images Public

    By leveraging deep learning models like ResNet50 and VGG16, combined with techniques such as transfer learning and self-supervised learning, the project aimed to categorize images effectively.

    Jupyter Notebook 1

  5. LLM-FineTuning LLM-FineTuning Public

    Sharing an interesting tutorial that was included as part of a course that I recently finished on Coursera.

    Jupyter Notebook 1

  6. LLM-for-ecommerce LLM-for-ecommerce Public

    FineTuning Flan-T5 for e-commerce text classification for 4 categories - "Electronics", "Household", "Books" and "Clothing & Accessories".

    Python