Name: Marcus Deans
Type: User
Company: Pickle Care Inc.
Bio: SWE @ DSPTCH | ECE/CS + Math @ Duke | Building in Rails & JavaScript | Enjoys programming in TypeScript, Java, & Swift. Knows Python & Dart (Flutter).
Location: Durham, North Carolina
Blog: marcusddeans.wixsite.com/marcusdeans
Marcus Deans's Projects
CNN Network based on VGG16 for classification of 10 types of animal images.
Personal blogfolio
Simulator for cellular automata simulations such as Conway's Game of Life and Schelling's Segregation
Play Chess on your desktop with JavaFX application. Supports various modifications & gameplay modes both visually & functionally.
New contacts backend in single script
A variety of scripts and work completed in Duke ECE 560: Cybersecurity. Emphasis on Bash scripts and Unix tools
Code from Duke EGR103: Computational Methods in Engineering taken in Python in Fall 2019.
Code from Duke ECE 250: Computer Architecture taken in C/RISC-V in Fall 2020.
Code from Duke CS201: Data Structures and Algorithms taken in Java.
Code from Duke ECE 353: Introduction to Operating Systems taken in C/C++ in Spring 2021.
A collection of useful .gitignore templates
Ruby Date Recurrence Library - Allows easy creation of recurrence rules and fast querying
Python implementation of ICMP Ping and ICMP Traceroute.
Building linked lists in Rust to understand language nuances
Simple application for tracking inventory with CRUD functionality
Frontend for Contacts App, built in SwiftUI with Swift 5. Uses Firebase, Factory, and Combine. Deployed on TestFlight external
A JavaFX program allowing for a Logo (Turtle Graphics) programming IDE, LSystem visualization, and Darwin entity simulator.
Code that'll help you kickstart a personal website that showcases your work as a software developer.
Rails Charts using eCharts from Apache
Simple web app build using React for recipe search and conversion to appropriate units.
Sandbox to play around with Remix
Organizational website created using React to replace existing static page.
A convolutional neural network model for recognising letters from the Sign Language MNIST dataset.