Jack Scallan

Chester Springs, PA 19425 · (610) 585-9366 · JScallan02@email.com

I am a senior studying Computer Science at the Pennsylvania State University and graduating in Spring 2024. I am interested in a career involving software development and machine learning/AI.


Education

The Pennsylvania State University, University Park

Bachelor of Science
Major: Computer Science
Minor: Mathematics

GPA: 3.54

August 2020 - May 2024 (est.)

Downingtown East High School

GPA: 4.0

August 2016 - May 2020

Experience

Software Engineering Intern

Lockheed Martin Corporation
  • Developed features on a full-stack web application using Angular to manage contracts for customers
  • Implemented backend functionality with Express.js and managed user information with PostgreSQL
  • Addressed regular production bugs and improvements in existing services by utilizing CI/CD pipelines and Jira to support agile development
  • Created and debugged existing unit tests with Jasmine for client and server-side code
May 2023 - Present

Engineering Intern

The Federal Reserve Bank of Philadelphia
  • Designed the UI for and implemented an automated appointment scheduling application for internal employees using Microsoft PowerApps and Power Fx
  • Implemented a Powershell script using SQL to update millions of employee configuration records between different servers using ODBC
June 2022 - August 2022

Learning Assistant

The Pennsylvania State University
  • Guided students with programming concepts in Python and assisted with teaching in recitations
  • Improved the construction of the course layout, design, and class policie
January 2022 - May 2022

Grader

The Pennsylvania State University
  • Debugged and reviewed students' implementations of data structures and algorithms in Python
  • Graded 260+ students' projects and assignmentson a weekly basis and commented on improvements to be made
August 2021 - December 2021

Projects

Secret Santa Emailer

  • Integrated an application on a web server using AWS EC2 to randomly pair client-entered information
  • Implemented AJAX to run a server-side PHP script that sends each entry an email using AWS SES
  • Created a responsive user interface using HTML, CSS, and Javascript for adding and deleting entries

Recipe Generator

  • Developed a Python script to retrieve recipes from an API based on user-entered preferences
  • Employed Flask and Jinja2 on a web application to retrieve inputs and display recipe information
  • Utilized machine learning to provide random recipe suggestions using Scikit-learn and Pandas

MsgKit Library

  • Published an official Python library that is used to debug code at runtime using the OpenAI API
  • Structured the classes, modules, and overall design from scratch and ensured clean, reusable code
  • Managed updates and proper documentation for new features, versioning, and issues/stories

Skills

Technologies
  • Languages: Python, Java, C, HTML/CSS, Javascript, SQL, .NET
  • Frameworks: Angular, Express.js, Flask, Scikit-learn, Pandas
  • Tools: AWS, Git, Linux, Jira, CI/CD
Workflow
  • Agile Development & Scrum
  • Collaboration and leadership
  • Problem solving and eagerness to learn

Interests

I am particularly interested in software development and artificial intelligence as discovered through work experience, personal projects, and coursework. Out of all of the classes I have taken, Machine Learning & Algorithmic AI was my favorite course.

Outside of work, I play disc golf, guitar, and do calisthenics.