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@blockchainpsu @themuleapp
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mrigankdoshy/README.md

Hey there, I'm Mrigank 👋

I'm currently a Software Engineer II at KCF Technologies that helps build enterprise software to deliver sustainable and comprehensive machine health solutions. I have a knack for front-end design and love building digital experiences! In the past, I've co-founded and developed Mule, an intelligent system that enables peer to peer delivery in college towns while helping students have complete autonomy over their schedules.

When not working with technology, I geek out on physics, game on the PS4, and binge watch movies/shows. I enjoy sipping on bubble tea while playing Jenga. I'm also proud to support THON, the world's largest student run philanthropy. 🎗️

Most of my projects are private repositories. If you're interested in viewing my work, please feel free to reach out!

Mrigank Doshy | Instagram Mrigank Doshy | Twitter Mrigank Doshy | LinkedIn Mrigank Doshy | Spotify Mrigank Doshy | YouTube

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  1. themuleapp/mule-app themuleapp/mule-app Public

    Tired of waiting in lines or taking a detour just to get a few items? Meet Mule. A new way to interact with deliveries. One tap and get whatever you want wherever you want.

    Dart 2

  2. personal-website personal-website Public

    A personal portfolio website built using Flutter and hosted with Vercel

    Dart 3

  3. ui-clones ui-clones Public

    Cloning UIs of apps: Twitter, Spotify, Netflix, Instagram, Snapchat

    Dart 3 1

  4. astronutz astronutz Public

    Website for Astronutz - a collection of 10,000 nutty NFTs. Built using React + Chakra UI and hosted with Netlify

    TypeScript

  5. options-pricing options-pricing Public

    This research project applies an object oriented approach to compute the prices of American and European Call and Put options using different pricing methods such as Monte Carlo, the analytical Bla…

    C++ 2 1

  6. monte-carlo-simulation-pi monte-carlo-simulation-pi Public

    A serial, a multithreaded and two parallel programs for the estimation of Pi using the Monte Carlo Method. Using matplotlib, plotted the estimated value to visualize the convergence. Parallelized u…

    C 1 3