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Hi 👋, I'm Vedant Gandhi

A developer from India 🇮🇳 who loves to do actual work.

vedant-gandhi

  • 🌱 I'm currently learning WordPress
  • You can work with me on - Golang, React, NodeJS
  • ⚡ I'm a Backend Developer. I ❤️ to make and break systems while reducing their cost and improving their efficiency. KISS is my goal.
  • Not an expert, but I have developed Frontend websites using React and NextJS.
  • 🤯 Woah! I have experience in fixing some critical bugs that were created by me.
  • Recently started Open Source Contributions.
  • 🔭 In my free time, I explore physics and astronomy.
  • 🔌 Fun Fact - Electricity does not travel inside wires. 😕

Connect with me:

vedntg

Languages and Tools:

Backend:

go    nodejs    express

Frontend:

react    javascript    typescript    sass    tailwind

Database:

mongodb    mysql    elasticsearch    redis

Misc:

docker    firebase    git    linux    rabbitMQ

vedant-gandhi

 vedant-gandhi

vedant-gandhi

Vedant's Projects

api_test icon api_test

Just a basic website to test out Pixbay API and Google Custom JSON Search API

attendance-face-recog-backend icon attendance-face-recog-backend

This is the backend for a project that monitors whether an entity is present in front of camera or not.Currently it is implemented for an employee attendance system but can be copied to be used for similar use cases.

coding-challenges icon coding-challenges

A simple repository consisting of various coding challenges implemented in different languages

cropmedic icon cropmedic

A cool project which has a lot of learning.

gcalmanager icon gcalmanager

This is a simple project to use Google Calendar API to view all your events.It fetches your events on server side and allows you to login using OAuth

gutenberg icon gutenberg

The Block Editor project for WordPress and beyond. Plugin is available from the official repository.

mailtry icon mailtry

This is a short poejct to provide login and signup api using email otp verification

ml-devanagari-character-recognition icon ml-devanagari-character-recognition

Handwritten devanagari character (UCI Dataset) recognition has been performed using Neural Networks. Features of the characters are extracted using Convlution Neural Network and Deep Neural Networks. The extracted features are then used to predict the characters using Classifiers: Random Forest, KNN and Multi-layer perceptron. Efficiencies of each

mock-redis icon mock-redis

This is a mock library for latest redis client.

redisai icon redisai

A Redis module for serving tensors and executing deep learning graphs

rust_browser icon rust_browser

This is just a simple effort to create an browser using Rust language which has a GUI and can parse HTML and CSS files easily.

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