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Kylefan123/README.md

👋 Hi, I'm Kyle Theodore

🎓 Computer Science Graduate @ University of South Florida 💻 Full-Stack Developer | ☁️ Cloud Engineering | ⚙️ Backend Systems | 🤖 Applied AI

I build full-stack software projects that combine clean user interfaces, reliable backend APIs, cloud-ready architecture, and practical engineering workflows. My current focus is on backend development, AWS-style cloud systems, document intelligence, and AI-assisted software engineering.

I recently built an AWS Document Intelligence Platform that uses React, FastAPI, PostgreSQL, Docker, LocalStack, Terraform, and GitHub Actions to support document upload, asynchronous processing, metadata extraction, and dashboard visualization.

🚀 Technical Focus

  • 💻 Full-Stack Development: React, TypeScript, FastAPI, Ruby on Rails, REST APIs
  • ⚙️ Backend Engineering: Python, SQLAlchemy, PostgreSQL, authentication, testing, API design
  • ☁️ Cloud & DevOps: AWS-style architecture, S3-compatible storage, Docker, Terraform, GitHub Actions
  • 🤖 Applied AI / ML: NLP, LLM safety research, document intelligence, computer vision workflows
  • 🧱 Software Engineering: CI/CD, clean project structure, automated testing, documentation, Git workflows

📌 Featured Projects

📄 AWS Document Intelligence Platform

Full-stack cloud-style document processing platform with user authentication, document upload, S3-compatible object storage, asynchronous processing, extracted text/metadata, Dockerized local development, Terraform infrastructure, and CI/CD.

Tech: React, TypeScript, FastAPI, PostgreSQL, Docker, LocalStack, Terraform, GitHub Actions

🧠 LLM Jailbreak Research

Research project investigating adversarial prompting and jailbreak attacks against large language models, with a focus on prompt safety, harmful-output categories, and model behavior analysis.

Tech: Python, NLP, LLM Evaluation, Prompt Engineering, Research Analysis

🖼️ Semi-Automated Image Annotation Tool

Computer vision annotation tool that supports interactive image segmentation and labeling workflows using region growing, contour extraction, and feature matching.

Tech: Python, OpenCV, Computer Vision, Image Processing

🚐 SAFE Team Ride Service Application

Web application prototype for managing student ride requests, queues, estimated wait times, driver information, and ride status updates for a campus safety transportation service.

Tech: Ruby on Rails, PostgreSQL, JavaScript, HTML/CSS

🛠️ Tech Stack

Languages

Python TypeScript JavaScript Ruby Java C%23 SQL

Frameworks & Tools

React FastAPI Ruby on Rails PostgreSQL Docker Terraform GitHub Actions

🎯 What I'm Building Toward

I am focused on becoming a strong software engineer who can build reliable, useful, production-style applications. I am especially interested in roles involving:

  • ⚙️ Backend engineering
  • 💻 Full-stack development
  • ☁️ Cloud engineering
  • 🧰 Developer tools
  • 🤖 Applied AI systems
  • 📊 Data-driven applications

🤝 Connect

Pinned Loading

  1. aws-document-intelligence-platform aws-document-intelligence-platform Public

    Full-stack AWS document intelligence platform with FastAPI, React, PostgreSQL, S3, Lambda-style processing, Terraform, Docker, CI/CD, and tests.

    Python

  2. llm-jailbreak-research llm-jailbreak-research Public

    Research project investigating adversarial prompting and jailbreak attacks against Large Language Models (LLMs).

  3. safe-team-usf-portfolio safe-team-usf-portfolio Public

    SAFE Team ride service web app (Rails) — portfolio continuation

    HTML

  4. Semi-automated-image-annotation-tool Semi-automated-image-annotation-tool Public

    Semi-automated computer vision tool for interactive image segmentation and annotation using region growing, contour extraction, and feature matching.

    Python