I am currently a rising Senior at the University of Pennsylvania studying Computer Science with a Minors in Math and Datascience interested in work at the intersection of technology and finance.
I was born and raised in Princeton, NJ and now am a student at UPenn's Engineering School. I am currently a Software Engineering intern at Capital One in McLean, VA, with interests in AI, backend development, and more!
Java, Python, Haskell, HTML, CSS, ReactJS, NextJS, and Flutter
BSE in Computer Science, Minor in Mathematics
FlutterFire, MERN, and ML project development experience
I have a diverse range of internship experiences within tech, finance, and research.
A simple guest operating system built from scratch in C featuring a kernel, scheduler, file system, and shell for user interaction
Technical Skills:C, Operating Systems
A fully pipelined RISC-V processor with 5 stages (FDXMW) supporting RV32IM instructions, including branch prediction, bypassing, load-use stalling, and cycle-accurate execution on FPGA boards
Technical Skills:SystemVerilog, Computer Architecture
A fullstack music discovery and organization platform enabling users to search albums/tracks, get personalized recommendations, save favorites, write reviews, and explore music by genre and artist
Technical Skills:Node.js, React, PostgreSQL, Amazon RDS
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
Technical Skills:Flutter, Firebase
A lightweight clone of Git using Haskell supporting the primary porcelain commands (init, add, commit, branch, switch, status, log)
Technical Skills:Haskell, Functional Programming
A machine learning project to predict NBA player point totals using Gradient Boosting Regression and Random Forest Regression with Randomized Search hyperparameter tuning
Technical Skills:Python, Google Colab, SciKit, MatPlotLib, Pandas, Numpy
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
Technical Skills:MongoDB, Express, React, Node, Google Colab
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
Technical Skills:React, TypeScript
grantwells1234@gmail.com@ 2025 Grant Wells. All rights reserved.
