Vincent Fiore

Software Engineer · New York, NY · vinrfiore@gmail.com

I'm a Software Developer specializing in scalable backend systems and cloud architecture. I build robust solutions that solve complex problems.

Currently modernizing release tooling at Capital One. Previously scaling genetic testing platforms at Sema4.

Download Resume

Experience

Senior Software Engineer

Capital One

• Led a rearchitecture of legacy production release pipeline flows, reducing API load and boosting UI performance by over 50%.
• Architected an organization-wide error code API for real-time updates on 5,000+ errors across 30+ sources.
• Integrated Jira Xray into the delivery pipeline, facilitating quality checks for 700,000+ annual releases.
• Key interviewer for team expansion.

Feb 2023 - Present

Software Engineer II

Sema4

• Developed Java Spring APIs on AWS Serverless to process large-scale genetic quality control data.
• Engineered Node.js Lambdas/Step Functions for asynchronous real-time lab data processing.
• Optimized API response/memory usage by 90% via ElastiCache/Redis implementation.
• Collaborated with Product to ship features used by thousands of providers.

Jun 2021 - Feb 2023

Senior Programmer

NYC Dept of Investigation

• Maintained Java CMS application and migrated legacy COBOL databases to modern stacks.
• Automated investigative search tasks with Python (hours to minutes reduction).
• Replaced failing Access databases with robust Java/Oracle applications.

Apr 2018 - Jun 2021

Software Engineer Intern

Major League Baseball

• Python automation workflows.
• Sumo Logic dashboard queries and Qualys network scans.
• Mobile device management via AirWatch.

Jan 2017 - Sep 2017

Education

Pace University

Master of Science in Computer Science
2017

St. John's University

Bachelor of Science in Computer Science
2016

Projects

Twitter Sentiment & Topic Analysis

Capstone Project

ML/NLP project determining mood and topic of tweets with ~90% accuracy. Published research at Pace University.
View Research PDF

Cybersecurity Thesaurus

NLP Research

Parsed 40,000+ expert tweets to dynamically generate a domain-specific thesaurus.
View Paper

Majestic 35

iOS App (Swift)

Movie collecting app for cataloging and sharing. Built with Swift, Firebase, and Cocoapods. Published on App Store.

Skills

Programming Languages & Tools

Java • Python • JavaScript • Swift • Go • SQL • Postgres • Oracle • NoSQL • AWS Certified Solutions Architect