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sanchukanirupama/README.md

Hi there 👋 I'm,

Sanchuka Nirupama

Researcher | Full-stack Developer | AI Developer

Current Status Quo

  • 👨🏻‍💻 I’m currently working as a Software Engineer
  • 🌱 I’m currently learning Rust, Erlang, Elixir and Go.
  • 🤔 My research interests are lie in the area of Wireless Communication (5G and Beyond), Energy Harvesting, Graph Neural Networks and etc.
  • 📫 Please email via sanchukanirupama@gmail.com to reach me.

🛠  Tech Stack

  • 💻   Python JavaScript C++ TypeScript Rust Elixir Go

  • 🌐   Node.js React Next.js Nest.js Bootstrap TailwindCSS

  • 🛢   MySQL MongoDB

  • ⚙️   Git GitHub GitLab

  • 🔧   Visual Studio Code

🛠  ML | AI Stack

openCV Keras NumPy Pandas scikit-learn TensorFlow Flask

🤝🏻  Connect with Me

LinkedIn Instagram Email

Pinned Loading

  1. Langchain-personal-assistant Langchain-personal-assistant Public

    The personal assistance chatbot integrates appointment creation, Google Calendar event scheduling with Google Meet, and email notifications using the Langchain and Zapier NLA integration.

    Python 5 1

  2. P-Scan P-Scan Public

    Simple and fast network port scanner build to learn go and to learn concurrency in go

    Go 2

  3. simple-DCGAN-Fashion-mnist simple-DCGAN-Fashion-mnist Public

    simple DCGAN model trained on Fasion-mnist data set in order to Generate the new synthetic images

    Jupyter Notebook

  4. Customer-Churn-Prediction-Telecom-DataSet Customer-Churn-Prediction-Telecom-DataSet Public

    In this notebook, We will evaluate the five best known machine learning algorithms to determine which one is the best fit for this given telecom churn binary classification.

    Jupyter Notebook 1

  5. Guess-The-Number Guess-The-Number Public

    Simple Game of guessing the random generated number using JS which is created to learn socketio

    JavaScript

  6. LSTM-Fake-News-Classifier LSTM-Fake-News-Classifier Public

    Fake news detection model built using LSTM networks

    Jupyter Notebook