Vincent Fiore

Software Developer. MS in Computer Science. Swift, Java, Python. Passionate about backend programming, machine learning, text analytics, and mobile development. Published on the App Store. Download my Resume.


New York City Department of Investigation

Senior Programmer

• Administer, support, and update agency’s Java-based CMS application. Managed Linux servers through command line, shell, and Python scripting.
• Created a Java application to replace an end-of-life COBOL database. Designed a visual interface that allowed for reporting and easy access to decades worth of data. Used Spring Core, Security, and Boot. Developed with Eclipse, Maven, and JUnit testing.
• Created a Python program to automate searching tasks for investigators and decrease their time spent on these activities from multiple hours to a few minutes.
• Created Apex-based applications with Oracle backends to replace failing Access-based apps. Dramatically increased uptime, reliability, and ease of use for all users. Created a full audit trail with Oracle SQL functions and stored procedures.

April 2018 -

Major League Baseball

Software Engineer Intern

• Created programs to automate workflows that previously took hours of manual work to complete using Python
• Created and managed queries for SumoLogic dashboard
• Administered and setup of hundreds of employee phones using AirWatch
• Managed and conducted internal and external network scans using Qualys

January - September 2017

Les Pain

Lead iOS Developer and Co-founder

Programmed and designed an iOS application using Swift and Firebase for chronic pain patients to track their pain and communicate with doctors.
• Created a Java backend API for hosting user data
• Released private beta to over 30 users and made changes based on feedback
• Released full version of application to Apple App Store.
• Finalist team in Zahn Innovation Center Entrepreneurial Competition

January - June 2017


Pace University

Master of Science
Computer Science
December 2017

St. John's University

Bachelor of Science
Computer Science
May 2016


Twitter Sentiment and Topic Analysis

Capstone Project 1

Used machine learning and natural language processing to determine the mood and topic of Tweets, creating a classifier that correctly predicted each 87% and 90%, respectively. The team’s research was published as part of Pace University’s Student-Faculty Research Day on May 5th, 2017.
Our Research

Programmatically Produced Cybersecurity Thesaurus

Capstone Project 2

Used natural language processing techniques to dynamically create a thesaurus of cybersecurity words based on the Tweets of experts in the field. Our team parsed over 40,000 posts to find recurrences, remove irrelevant words, and create a pertinent corpus.
Our Research

Majestic 35, Movie Collecting App


Worked with a partner to produce an application for users to catalog and share the movies they’ve seen with friends. Used Swift, Firebase, and Cocoapods to create the application and backend. Published on the Apple App Store.


Programming Languages & Tools

Java & Android. Swift & iOS. Python. C, C++, UnrealScript. SQL, MySQL, NoSQL.