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TJ.

Software engineer · New York / Boston

TJ Gribbin

Software Engineer / Computer Science @ Northeastern University

I build reliable full-stack products and backend systems, with experience shipping production software used by thousands of customers. I’m currently pursuing a B.S. in Computer Science at Northeastern University.

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Education
Northeastern University
Degrees
B.S. Computer Science · Expected 2027 A.S. Computer Science · 2025
Experience
SWE Intern @ Videa · Backend Integrations SWE Intern @ Wrestling Reimagined · Full Stack
Focus
Backend · Full-stack AI · Machine Learning
Selected work

01 / Experience

Production work, measurable reach.

Engineering experience building full-stack tools, backend integrations, and real-time systems used in production.

01

Videa

Software Engineering Intern · Backend Integrations

May — August 2026

Built full-stack tools and third-party integrations supporting clinical data workflows for more than 6,500 dental practices.

  • Built and launched a self-service Connector Console serving 6,500+ dental practices with TypeScript, Node.js, and React, exposing versions, regional distribution, platform roles, installers, and activation keys.
  • Improved tooling used by 200+ employees with dark mode, standardized PostgreSQL location IDs, and an end-to-end notes feature spanning the frontend, REST APIs, and database persistence.

02

Wrestling Reimagined

Software Engineering Intern · Full Stack

September — December 2024

Developed and supported real-time tournament software used across more than 200 live events.

  • Built and deployed an event-driven badge recognition system with TypeScript, Node.js, and MySQL that automatically awarded achievements to 4,000+ wrestlers.
  • Investigated and resolved production issues across real-time scoring and tournament data workflows to keep event processing reliable.

02 / Selected projects

Built to solve something specific.

Product engineering, applied AI, hackathon work, and computer vision research.

01

Collaborative product

PITSTOP

A full-stack road-trip planner for shared itineraries, expenses, voting, route-aware stop discovery, and collaborative playlists.

TypeScriptNext.jsExpressMySQLGoogle MapsFirebase
View project

02

Machine learning analytics

AI UFC Judge

A round-scoring analytics platform that combines UFCStats, official scorecards, and machine learning to estimate who is winning an MMA round from fight statistics.

PythonFastAPIReactVitescikit-learnPydanticSportradar
Details soon

03

1st place · HopperHacks

HopperHelps

An AI-assisted journal and mood calendar that analyzes entries, visualizes emotional trends, and synchronizes sentiment data with user journals. Won 1st place among 230 participants.

OpenAI APIZustandFirebase Firestore
View project

04

Computer vision research

Signature forgery detection

A custom CNN for writer-independent signature forgery detection that achieved approximately 91% classification accuracy on unseen test data. Presented at the SUNY Undergraduate Research Conference.

PythonTensorFlowNumPyPandasCNN
Details soon

03 / Technical toolkit

Tools I use to ship.

Languages, frameworks, databases, and infrastructure used across production work, coursework, and personal projects.

Languages

Java · Python · TypeScript · JavaScript · C

Application

Node.js · Next.js · React · Express · Tailwind CSS

Data & infrastructure

PostgreSQL · MySQL · Redis · AWS · Terraform · Docker

04 / About

A nontraditional route into computer science.

Suffolk County Community College → Northeastern University

My path into software engineering was not a straight line. After high school, I worked delivering pizza without a clear idea of what I wanted to pursue. I eventually started Harvard’s CS50, committing to it for one hour every day. That small, consistent habit became the turning point that convinced me to take computer science seriously.

I returned to school at Suffolk County Community College, where I became CS Club president, worked as a teaching assistant, participated in student research, and graduated with an A.S. in Computer Science in 2025. From there, I transferred to Northeastern University to continue toward a B.S. in Computer Science, expected in June 2027.

Along the way, I moved from learning fundamentals to building software in production through full-stack and backend-focused internships. I’m now looking for software engineering opportunities where I can keep that momentum going by working on dependable systems, useful products, and problems that reward curiosity and persistence.

05 / Résumé

Experience at a glance.

A one-page overview of my education, engineering experience, projects, and technical skills.

View the résumé in a dedicated reader or download the original PDF.

View résumé Download