Hi! I'm Grant Wells

student + aspiring software developer

I am currently a Junior at the University of Pennsylvania studying Computer Science with a Minor in Mathetmaics looking for Software Engineering/Development positions.

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Introduction

About me

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I was born and raised in Princeton, NJ and now am a student at UPenn's Engineering School. I am an incoming Software Engineering at Capital One in McLean, VA, with interests in AI, backend development, and more!

  • Languages

    Languages

    Java, Python, Haskell, HTML, CSS, ReactJS, NextJS, and Flutter

  • Education

    Education

    BSE in Computer Science, Minor in Mathematics

  • Projects

    Projects

    FlutterFire, MERN, and ML project development experience

Tools I use

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My career thus far

Work Experience

I have a diverse range of internship experiences within tech, finance, and research.

Capital One

Incoming Software Engineering Intern, Summer 2025

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TAG Infosphere

AI Intern, Summer 2024

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Marathon Asset Management

Data Analyst Intern, Summer 2023

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Lloyd Group

Automation & Development Intern, Summer 2022

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What I've been working on

My Projects

ILMUNC App

An iOS/Android application for running Model UN conferences supporting hundreds of users with CRUD operations, authentication, push notifications, and Firebase Functions for Airtable data integration

Technologies used:Flutter, Firebase

HGit

A lightweight clone of Git using Haskell supporting the primary porcelain commands (init, add, commit, branch, switch, status, log)

GitHub

Technologies used:Haskell

NBA Predictor

A machine learning project to predict NBA player point totals using Gradient Boosting Regression and Random Forest Regression with Randomized Search hyperparameter tuning

GitHub

Technologies used:Python, Google Colab, SciKit, MatPlotLib, Pandas, Numpy

Moral Map

A crowdsourcing project that maps the intricate ethical landscape of the United States, revealing how regional, demographic, and ideological factors influence moral judgments on contemporary issues

GitHub

Technologies used:MongoDB, Express, React, Node, Google Colab

QuickConvert

A Chrome web extension to automatically convert selected prices on shopping websites to a specified target currency using React and TypeScript with the CurrencyLayer API for conversion rates

GitHub

Technologies used:React, TypeScript

Connect with me

Get in touch

I'd love to hear from you! If you have any questions, feedback, or you are interested in working with me, please use the form below.

grantwells1234@gmail.com

@ 2025 Grant Wells. All rights reserved.