In Spring of 2022 I completed an internship where I deepened my knowledge of full-stack development by working on an internal employee tool in an agile team environment. I worked with C# (.NET), JavaScript, React, Redux, T-SQL, Node, Docker, JIRA, Git, GitHub, and RabbitMQ.

Over the summer I joined a team of other UNF students to begin working on our year-long senior project. We developed some basic features for a mock volunteer management system as a warm-up to our real project (in progress as of Fall 2022), a longitudinal survey system for a local non-profit organization. The goal is to help the client collect data over the course of many years from their program's participants in order to assess the impact of the program on participants' lives. We are using the PERN stack - PostgreSQL, Express, React, and Node.

Languages

  • JavaScript
  • TypeScript
  • React with Redux
  • HTML5 + CSS3
  • C# / .NET Framework
  • Java
  • SQL (MySQL, T-SQL, PostgreSQL)

Tools

  • NodeJS + ExpressJS
  • NPM + Yarn package managers
  • Version Control - Git + GitHub
  • JIRA
  • Docker
  • Postman
  • Visual Studio + VSCode
  • Azure Data Studio
  • Adobe Creative Suite: Illustrator, Fresco, PhotoShop, XD, InDesign, Fonts
  • Figma

Principles

  • Object-Oriented Programming
  • Agile / Iterative Development
  • REST API development
  • Responsive Web Design
  • Accessible Design

Completed Projects

Volunteer Management System (UNF) — Added API endpoints, database scripts, and user interface for adding, viewing, and updating volunteer information. (JavaScript, MySQL, and React, using Node + Express)

System Field Updater (SS&C Advent) — Implemented new full-stack tool for internal employees to update database fields controlling client-facing financial reporting options using an existing API. (.NET, React/Redux)

Shoutout Slack Bot (SS&C Advent) — Updated gamified Slack bot for employee shoutout channel by debugging and merging changes from previous interns for migration from classic Slack apps to socket-based Slack apps, and adding more trigger words. (.NET and Slack API)

COVID-19 & U.S. Population Data Processing (UNF) — Used data from parsed files and user input to calculate, sort, and display formatted COVID-19 data from the U.S. relating to several demographics. (Java)

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