Erik Mayes
Available for opportunities · UCF CS '26

Erik
Mayes

Computer Science student · AI/ML & full-stack developer · Building intelligent systems from the ground up.

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01 · About

Who I Am

I'm a Computer Science student at UCF (graduating July 2026, 3.5 GPA), focused in AI/ML systems and full-stack development.

My senior capstone is a DoD-sponsored AI troubleshooting RAG(Retrieval Augmented Generation) system built with LangChain, ChromaDB, and local LLMs. I serve as Scrum Master and lead the RAG pipeline architecture in collaboration with Dignitas Technologies.

Outside of academics I build personal projects that scratch real itches: RAG chatbots for tabletop game manuals, stock market dashboards, and networked home infrastructure.

3.5
GPA · UCF CS
4+
Shipped projects
DoD
Sponsored capstone
AI/ML
Primary focus area
Languages
Python JavaScript Java C SQL Bash HTML/CSS
AI / ML
LangChain ChromaDB Ollama PyTorch scikit-learn RAG pipelines CNNs
Frameworks & Tools
Flask Streamlit React Git Docker AWS Linux / WSL2
Practices
Scrum / Agile UML design REST APIs LAMP stack

02 · Projects

What I've Built

03 · Experience

Timeline

2026 – Present
Scrum Master & Software Engineer
BVI RAG System · Dignitas Technologies / UCF Senior Design
  • Leading a 5-person Agile team building a DoD-sponsored AI troubleshooting tool
  • Architected local LLM pipeline using LangChain, ChromaDB, and Ollama on both macOS and WSL2
  • Designed UML sequence diagrams and authored stakeholder-facing user story documentation
2024 – Present
B.S. Computer Science
University of Central Florida · GPA 3.5 · Expected July 2026
  • Coursework: Artificial Intelligence, Machine Learning, Operating Systems, Linear Algebra, Data Structures & Algorithms
  • RAG systems, machine learning, and full-stack web development
  • Built and optimized classification pipelines using Decision Trees, Naive Bayes, KNN, and Neural Networks in Python & applying cross-validation and regularization to improve generalization.
  • Hardened Linux servers against real CVEs using Nessus vulnerability scans, Nmap network mapping, and CIS benchmarks remediation, reducind attack surface across enterprise enviornments.
  • Built multi-threaded client-server application in Java with JDBC/MySQL, implementing prepared statements, role-based access control and encrypted communications to enforce secure data.
  • Monitored simulated network traffic using Wireshark and Splunk, identifying anomalous patterns and configuring Crowdstrike alerts for threat detection.
2018 – 2022
Retail General Manager
CVS Health
  • Paragon Award recipient — CVS Health's highest recognition for operational excellence
  • Led teams of 10–15, driving accountability, process improvement, and customer metrics

04 · Contact

Let's build
something.

I'm actively looking for new grad / internship opportunities in AI, ML, or full-stack engineering. My inbox is open, and you can always reach me on Linkedin too.

Send an email →
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