Arrow animation
Ben McCabe
I’m a fourth-year Computer Science student at NJIT, focused on front-end development and app development. My work experience includes contributing to full-stack applications and automating tasks to improve team efficiency and user experience.

I enjoy being creative and seeing visual output, which is why I love front-end development and app development. I find a lot of inspiration for my work in the music I listen to, with some of my artists being Frank Ocean, Dominic Fike, Travis Scott, and Radiohead.

I’ve recently developed an interest in woodworking, furniture design, drawing, and watercoloring, and have been spending some of my free time learning more about these hobbies. You can also catch me skateboarding, hiking the trails, and even doing yoyo tricks.
May '24 - July '24
A music discovery platform leveraging the MERN stack and iTunes API to explore my most listened-to albums with an engaging user interface I designed.
Nov. '23
Collaborated with a team at HackNJIT ‘23 to develop a Diet Recommendation Web App, leveraging NJIT’s dining hall API and OpenAI API to recommend daily meal plans to users.
Education
Albert Dorman Honors College, New Jersey Inst. of Technology
B.S. in Computer Science, Expected Grad: May 2025
GPA: 3.89 / 4.00 - Dean's List
Relevant Courses: Adv. Data Structures & Algorithms, Adv. Web Development, C Programming, Object-Oriented Programming, Computer Networks, Data Science, Database Design & Management
Professional Experience
Software Engineer Intern, Optum / UnitedHealth Group
June '24 - Aug. '24
  • Migrated Jenkinsfile Pipelines to Github Actions, seamlessly integrating with a preexisting codebase on Github, improving security and enhancing monitoring of CI/CD processes for over 60 repositories.
  • Achieved cost savings of $400k by eliminating licensing, storage, computing, and support costs.
  • Led a team of interns by facilitating daily standup meetings, end-of-sprint retrospectives, and managing the Agile Board to effectively delegate tasks and ensure successful project delivery.
Part-Time Developer, Colgate-Palmolive
Sept. '23 - May '24
  • Deployed an AWS Lambda function to automate CSV file transfers from an AWS S3 bucket to Google Drive.
  • Developed a Google App Script to automate the conversion of CSV files in a Google Drive folder to be automatically converted to Google Sheets for accessibility and efficiency.
  • Collaborated with interns to create a server status heatmap, using data retrieved from Splunk to create a dashboard showcasing system health updates, enhancing efficiency for the team.
Software Engineer Intern, Optum / UnitedHealth Group
June '23 - Aug. '23
  • Designed and built a responsive internal job board website using React and CSS, implementing drag-and-drop, filters, and search bar functionality to improve user experience when applying to roles.
  • Created static and dynamic data retrieval endpoints using NodeJS to connect the database to the front-end website allowing users to view and interact with the positions offered.
  • Integrated SQL update queries and update endpoints to ensure the database gets modified based on user interactions.
Developer Intern, Colgate-Palmolive
June '22 - May '23
  • Developed multiple Google Chrome Extensions using Google Apps Script to automate data reporting and maintain synchronization of Test & Production databases on Splunk.
  • Streamlined employee tasks and enhanced team efficiency by creating workflow tools and scripts to reduce manual tasks, resulting in improved ticket completion rates.
  • Utilized the Stonebranch automation tool to schedule and manage IT processes held on SAP and Linux servers.
Software Engineer Intern, Becton Dickinson
Sept. '20 - May '21
  • Created a material science analysis desktop application that utilizes OpenCV image recognition to evaluate videos of different rubbers under increasing tensile stress.
  • Applied the Pandas library to analyze the collected data, identifying strengths and weaknesses within each material to guide the development of medical syringes.
Computer Science Tutor, NJIT
Jan. ‘22 - Present
  • Facilitating weekly open lab sessions and conducting personalized one-on-one appointments with students focusing on introductory programming in Java, Python, C++, and JavaScript.