Thomas McNulty

Aspiring Software Engineer

Thomas McNulty 

 210 Garden Street, Cambridge, MA 02138

Education:

Tufts University, Medford, MA                                                                                       May 2022

• Bachelor of Science in Computer Science                                                                                            
• GPA 3.92, Summa Cum Laude, Phi Beta Kappa

Relevant Coursework: 

Machine Structures & Assembly Language, Algorithms, Programming Languages, Data Structures, Artificial Intelligence, Computation Theory, Web Design

Work Experience:

Toast Tab  – Software Engineer 1, Boston MA                                                                                     July 2022 – Present

• Used SwiftUI to refresh major UI components to modernize the Toast App
• Improved reordering functionality accounting for 22% of app reorders
• Contributed as one of the 4 major codeowners for the Toast App for 20+ contributors
• Took initiative on various bug fixes, UI tweaks, and other logistic enhancements
• Released and monitored major versions of the Toast App

Toast Tab  – Software Engineering Intern, Boston, MA                                                                                  June 2021 – August 2021

• Implemented new features into the Toast App on iOS and Android using Swift and Kotlin
• Integrated pinch to zoom functionality for item images using the Swift UIKit location framework
• Designed and implemented the Toast App debug menu using a VIPER architecture
• Workshopped future app functionality and contributed in team brainstorming
• Demonstrated new app features to the Toast consumer software engineering department

Hassoun Lab  – Database Management Researcher, Medford, MA                                                               May 2020 – December 2020

• Reconstructed the BRENDA-Enzymes database in JSON format for machine learning research
• Used python parsing and traversing techniques to convert text entries into a JSON structure
• Discussed machine learning algorithms relevant to lab research

Projects:

PER-BRENDA 

• Deconstructed the BRENDA database text file into a python dictionary format using string comprehension
• Implemented a command line tool for multi-category queries for specific enzyme related information
• Created a scientific journal article summarizing the work

Image Compression System

• Created an image compression and bit packing system using C to compress and decompress PPM formatted images
• Used discrete cosine transformation and RGB to YPBPR functions to simplify unnecessary image aspects

Tufts Dining Website Prototype

• Remade the Tufts dining website with new interactive elements using HTML and Javascript
• Used CSS style techniques and Adobe XD to revamp the websites appearance

Peer Mentor                                                                                            

• Mentored a Tufts undergraduate computer science student in code design and career choices
• Reviewed code snippets with mentee for style and optimization    

Skills: 

• Programming Languages: JavaScript, Swift, Kotlin, C++, Python,  C, PHP, HTML, Java
• Frameworks and Technologies: JSON and Git
• Databases: MongoDB and MySQL
• Foreign Languages: Spanish (intermediate), Chinese (intermediate)

Tufts University. Summa Cum Laude. Phi Beta Kappa.