pranavdesai

pranav desai

I am a highly motivated individual who is currently exploring his interests in ideating, building, and deploying dynamic and rich Web experiences using Frontend technologies such as React, Next, and Vue as well as backend technologies like Flask, Node, and express. I also have experience with databases like Firebase, SQLAlchemy, and MongoDB and am eager to learn more. Additionally, I am exploring the Ethereum ecosystem and the potential of web3.0. I have also successfully led teams to win more than 15 hackathons on a global level and have developed innovative products with great potential.

Projects

Unzipped

To create a website that helps models improve their craft at an amateur stage.HTML, CSS, JavaScript, Flask, TensorFlow, MySQL, Tensorflow.Js

-r

-rSolidity, React, Node.js, MetaMask, TensorFlow, Express.js, MongoDB, Ethereum, web3j, FastAPI

lazar

minimal marketplceReact

Groove

ServiceSolidity, IPFS, React, Connext, web3.js, Hardhat, tailwind, Filecoin, NFT.Storage

pipit

A marketplace leveraging web3Solidity, Tailwind CSS, nextjs, Polygon, Arcana, Push Protocol, fvm, Mantle

mutliverse

A multiverseSolidity, Next.js, Natural Language Toolkit (NLTK), OpenAi, Ethereum, Hardhat, tailwind

Blinkify

decentralized nepal PlatformSolidity, ethers.js, TailWindCSS, yeoman, Spheron, Push, vscode-extension

TBD

Something description stuffnextjs

-r

-rSolidity, Next.js, ethers.js, Tailwind CSS, Wagmi, CoreDAO, Lumio, vara, AnonAaadhar, ScaffoldEth

lazarus

For Bringing the god among usHTML, CSS, Flask, Machine Learning, SQLAlchemy

Skills

Solidity
JavaScript
Node.js
React
Flask

Experience

  • TVS Motor - SDE Intern
    May 2023 - July 2023
    • Developed a comprehensive Excel Visualization Portal that automated and streamlined the company's data management, reducing manual effort by 80% and enhancing efficiency.
    • Implemented efficient data scraping functionalities to gather information from external sources seamlessly.
      Incorporated powerful data visualization tools to present the extracted data in a visually engaging manner