Software Developer & CS Student

Hello, I'm Chaz Wyllie

Computer Science undergraduate at ASU. I build impactful software solutions through full-stack development, machine learning, and problem-solving.

Chaz Wyllie portrait

About Me

I'm pursuing a Bachelor's in Computer Science at Arizona State University with a passion for building elegant, scalable software solutions. My interests span full-stack development, machine learning, and data analysis. I'm driven by the challenge of translating complex problems into clean, efficient code.

Whether architecting backend systems or exploring AI/ML applications, I'm committed to continuous learning and delivering production-ready solutions. I thrive in collaborative environments and am eager to contribute to meaningful projects that make a real impact.

Outside of software, I’m disciplined about fitness and health, lifting, running, and optimizing routines, which is the same mindset I bring to engineering: consistency, feedback loops, and measurable progress.

Let's build something great

Technical Skills & Expertise

Core Languages

Python
Scripting, automation, data processing, ML workflows
Java
OOP design, backend fundamentals, Maven build tooling
C/C++
Systems-level exposure, memory management, performance
JavaScript
SQL

Data Science & AI

Applied Machine Learning
Model evaluation, cross-validation, hyperparameter tuning
Data Analysis
NumPy, pandas for cleaning, feature engineering, exploration
AI Agentic Development
LLM-powered agents, tool-calling, multi-step reasoning
Prompt Engineering
Role-based agent design, local AI inference workflows
Model Optimization
Generalization, overfitting prevention, performance tradeoffs

Development Tools & Practices

Git & GitHub
Version control, branching strategies, PRs, collaboration
VS Code Workflows
Reproducible environments, Python venv, development setup
Automation & Scripting
Task automation, eliminating repetitive work, productivity
React
Node.js
Linux

Computer Science Fundamentals

Data Structures & Algorithms
Strong foundation in core CS principles and design
Systems Programming
Memory management, kernel modules, I/O concepts
Project-Driven Learning
Emphasis on documentation, clarity, maintainability

Relevant Coursework

Backend Software Engineering / Backend Systems Systems / Low-Level ML/Data Machine Learning / Data Security Security / Reliability
Data Structures and Algorithms
Backend Systems ML/Data Security
Object-Oriented Programming and Data Structures
Backend Systems ML/Data
Operating Systems
Backend Systems ML/Data Security
Distributed Software Development
Backend Systems ML/Data Security
Computer Organization and Assembly Language Programming
Backend Systems Security
Software Quality Assurance and Testing
Backend ML/Data Security
Software Analysis and Design
Backend Security
Computing Ethics
Backend ML/Data Security
Information Assurance
Security
Foundations of Machine Learning
ML/Data
Exploring Data in R and Python
ML/Data
Introduction to Software Engineering
Backend
Principles of Programming Languages
Backend Systems
Introduction to Theoretical Computer Science
Systems
Digital Design Fundamentals
Systems
Introduction to Programming Languages
Systems
Introduction to Human-Computer Interaction
Backend

Projects

AI-Powered Enterprise Operations Assistant

An AI agent that automates enterprise mainframe operations using GPT-4 tool-calling, an MCP server layer, and a security-hardened Docker sandbox. Features a React web UI, 7-layer security defense, and 323 tests at 92% coverage.

Python FastAPI React GPT-4 Docker Langfuse

Data Structure Visualizer

Interactive visualizer for 21 data structures and algorithms built with TypeScript and HTML5 Canvas. Step-by-step animation, pseudocode highlighting, operation counters, and Big-O complexity display.

TypeScript Vite Canvas API Vitest

Kairo

Adaptive fitness planning for busy people. Set real-life constraints — time, equipment, stress — and get a daily workout + protein plan. Log in 30 seconds. Tomorrow auto-adjusts based on today's results.

HTML5 CSS3 JavaScript

Machine Learning Classification Model

Developed a classification model using Python and scikit-learn. Includes data preprocessing, feature engineering, model training, and evaluation with comprehensive analysis.

Python scikit-learn Pandas

E-Commerce REST API

Built a scalable RESTful API with Node.js and Express. Features include authentication, database modeling, error handling, and API documentation.

Node.js Express MongoDB

Experience

Front Desk Associate

Powerhouse Fitness

May 2021 — Dec 2022

  • Delivered exceptional customer service and resolved inquiries with professionalism
  • Managed front desk operations, coordinating daily schedules and member check-ins
  • Improved operational efficiency and member satisfaction through process optimization

Additional experience entries coming soon...

Let's Work Together

I'm always interested in hearing about new opportunities and challenges. Feel free to reach out!