Skip to content
View keshav1998's full-sized avatar
2 followers · 0 following

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Block or report keshav1998

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
keshav1998/README.md
  • 👋 Hi, I’m Keshav Mishra, a full time LLM Engineer and Olas Developer, with 5 years of experinece
  • 👀 I’m interested in Machine and Deep learning based projects, with end to end deployments using data engineering pipelines and feature extraction
  • 🌱 I’m currently learning more and more about LLMs & blockchain development
  • 💞️ I’m looking to collaborate on data science based projects
  • 📫 How to reach me: [email protected]

Popular repositories Loading

  1. Cpp-Competitive Cpp-Competitive Public

    My first Git work

    C++

  2. PAN-Card-OCR PAN-Card-OCR Public

    Forked from dilippuri/PAN-Card-OCR

    Retrive meaningful information from PAN Card image using tesseract-ocr 😎

    Python

  3. opencv_contrib opencv_contrib Public

    Forked from opencv/opencv_contrib

    Repository for OpenCV's extra modules

    C++

  4. indiansubReddit-Flair-Detection indiansubReddit-Flair-Detection Public

    Implementing a model to detect the flair of a post using it's title comments and flair color

    Jupyter Notebook

  5. Netflix-Review-sentiment-analysis Netflix-Review-sentiment-analysis Public

    Creating a LSTM neural network for predicitng the sentiment of the review using a data set of 5000 positive and 5000 negative reviews.

    Jupyter Notebook

  6. Retail-Data-analysis Retail-Data-analysis Public

    Creating a report to display calculated metrics, reports and inferences.

    Jupyter Notebook