Garrett Vernon

About

Bio

I'm a Computer Science graduate and current M.S. in Computer Science student at Georgia Tech, specializing in Artificial Intelligence. I'm focused on software engineering, full-stack development, backend systems, cloud technologies, and AI.

My experience includes Java, Python, TypeScript, JavaScript, C#, SQL, Spring Boot, Angular, Next.js, FastAPI, .NET MAUI, and AWS. My projects include Provenance, an AI-powered application focused on intelligent retrieval and data-driven systems, along with full-stack and cloud-based software projects.

I'm continuing to build my software engineering and AI skills through graduate study and hands-on development, with a focus on applying technology to real-world problems.

Open to internships Early-career roles Georgia Tech OMSCS — AI

Tech Stack

JavaScript

React

CSS

Python

HTML

Node.js

Git

Java

Angular

Spring Boot

Portfolio

Projects

HomeLink Service Hub

Full-stack marketplace platform enabling homeowners to request services and providers to manage jobs across a complete lifecycle.

Independently rebuilt and expanded a university capstone project into a full-stack production-style marketplace platform
Architected a three-role system (homeowner, provider, admin) with role-based access control
Built JWT-secured REST APIs using Spring Boot and integrated Angular frontend
Designed and implemented end-to-end service request and payment processing workflows
Deployed scalable infrastructure on AWS (Elastic Beanstalk, RDS, S3, CloudFront)
Automated CI/CD pipeline using GitHub Actions

AngularJavaSpring BootMySQLAWSJWT

Live Demo View Code

Provenance

Question-answering system over SEC EDGAR filings that retrieves and re-ranks passages, then generates answers where every claim cites the exact source text.

Built hybrid retrieval combining pgvector semantic search and BM25 full-text search, merged with Reciprocal Rank Fusion
Fine-tuned an in-house cross-encoder re-ranker and exported it to ONNX for deployment
Bootstrapped training data using an LLM, removing the need for manual labeling
Built an evaluation framework measuring answer faithfulness and citation accuracy

PythonPyTorchFastAPIPostgreSQLONNXDocker

Live Demo View Code

Luex

Cross-platform financial tracking application for desktop and Android with real-time cloud synchronization.

Designed application architecture and user workflows for structured financial tracking
Built cross-platform UI using .NET MAUI and XAML
Integrated Firebase Firestore for real-time data synchronization across devices
Implemented scalable data handling for consistent multi-device user experience

C#.NET MAUIFirebaseXAML

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Cheevo

Full-stack Xbox achievement tracker that connects to a player's Xbox Live profile to surface games, completion progress, achievement rarity, and gamerscore in one place.

Integrated Xbox account authentication via OpenXBL OAuth with encrypted, per-user token storage
Built background library synchronization with live progress updates
Surfaced achievement details with filtering, sorting, and rarity metrics
Added a Redis caching layer to manage external API rate limits

Next.jsTypeScriptFastAPIPostgreSQLRedisDocker

Live Demo View Code