Welcome to my GitHub profile! I'm a passionate Software Engineer with a keen interest in game development, algorithms, and building impactful solutions. I love solving complex problems, creating engaging digital experiences, and contributing to meaningful projects.

I'm a software engineer dedicated to crafting innovative solutions across multiple domains—from competitive algorithm challenges to real-world automation systems, and game development. I'm passionate about clean code, optimization, and creating technology that makes a genuine impact. Whether it's optimizing algorithms, automating nonprofit workflows, or building games, I approach every project with enthusiasm and attention to detail. I would call myself a generalist, but also with the ability to hyper-focus on a specfic task. I genuinely enjoy bug hunting, also-- Esp considering my teaching background as a peer leader at NEIU and a summer camp teaching assistant at Northwestern; I love that feeling of shifting in a new context and solving a unique problem.

• Languages: Python, C++, TypeScript, JavaScript, HTML/CSS
• Frontend: React, Next.js, Tailwind CSS
• Backend: Node.js, Express, Prisma, Flask
• Game Development: Unreal 4/5¹ Godot Engine, Game Design, Interactive Systems
• Data Science & ML: TensorFlow, Pandas, Numpy, OpenAI API
• Tools & Platforms: Git, GitHub, Docker, Jupyter Notebook, OBS, PostgreSQL, CMake
• Methodologies: ETL/Data Pipeline Design, Full-Stack Development, Test-Driven Development

(Learning and thought storming first game / project idea. Using free coursera course provided by NEIU as a basic exposure / starting spot)¹

My indie game project built with the Godot Engine!

• Description: An interactive village-building game created with Godot. Experience game design, mechanics, and storytelling in action.
• Play the Game: Play on itch.io
• Tech Stack: Godot Engine, GDScript
• Link: View Game Page

High-performance algorithm solutions demonstrating competitive programming training in multiple languages.

• Description: Solutions to Advent of Code 2025 challenges implemented in both Python and C++. Showcases problem-solving approach, code quality, and optimization techniques with focus on algorithmic efficiency.

• Tech Stack: Python 3.x, C++ 17, CMake

• Key Features:

  • Problem by problem analysis provided in the readme.md
  • Multi-language implementations (Python & C++)
  • Built-in test validation through test cases
  • Automated edge case monitoring
  • No external dependencies (pure algorithm implementations)
  • Clean, optimized code with complexity analysis

• Link: View Project

Intelligent automation tool built for Chi-AWE nonprofit organization.

• Description: Automated email outreach system that eliminates repetitive manual labor. Reduces email campaign workload by 30+ hours annually through CSV-driven personalized messaging. Built for Chi-AWE (Chicago Asian Women Empowerment), a 501(c)3 nonprofit.

• Tech Stack: Python, Pandas, Mammoth, SMTP, DOCX/PDF handling

• Key Features:

  • CSV-Driven Workflow: Manages campaigns through simple spreadsheet inputs
  • Document Conversion: Converts .docx templates to HTML and plain text emails
  • Multi-Attachment Support: Automatically attaches personalized PDFs
  • Safety First: Three-tier testing system (dry-run → test addresses → production)
  • Rate Limiting: Built-in 1-second delay to prevent SMTP throttling
  • Secure Credentials: Environment-based credential management
  • Debug Mode: Test with hardcoded addresses before production

• Impact:

  • ✅ 30+ hours saved annually in manual email outreach
  • ✅ Personalized messaging at scale for donor/sponsor campaigns
  • ✅ Zero production incidents due to comprehensive testing modes
  • ✅ Extensible architecture for easy campaign additions

• Architecture Highlights:

  • Separation of concerns: Email generation vs SMTP sending
  • Modular function design for reusability
  • Configuration over code approach

• Link: View Project

A sophisticated manual subathon timer with a browser-based controller panel designed for streamers.

• Description: Built a smart streaming timer integrated with OBS that supports multiple payment platforms (YouTube, Twitch, CHZZK, Afreeca). Features mathematical conversion of inputs, crash-proof system time-based calculations, and seasonal background artwork.
• Tech Stack: Python, Flask, HTML, JavaScript, CSS
• Key Features:
  • Multi-platform support (YouTube SC/Memberships, Twitch Subs/Bits, CHZZK, Afreeca)
  • OBS text file integration for live display
  • Ledger system tracking all actions
  • Seasonal themed backgrounds with fan art
  • Crash-proof system using time-based calculations
• Link: View Project

An intelligent web scraper that automates event discovery and uses AI to extract and organize data.

• Description: An ETL pipeline project that searches the web for AAPI-related events in the Midwest, scrapes HTML content, and uses OpenAI's GPT API to generate intelligent event descriptions. Results are automatically organized into Excel files for easy review.
• Tech Stack: Python, Pandas, OpenAI API, Web Scraping
• Key Features:
  • Automated web scraping and parsing
  • AI-powered data extraction using GPT
  • ETL pipeline architecture
  • Structured Excel output with source URLs, event names, locations, and AI-generated descriptions
• Link: View Project

A modern full-stack contact management application built with cutting-edge web technologies.

• Description: A sleek contact management system featuring a React/Next.js frontend with Tailwind CSS styling and a Prisma PostgreSQL backend. Includes features for adding, editing, and managing contacts with a polished user interface. NOTE: this was made before tools like Cursor.
• Tech Stack: Next.js, React, TypeScript, Tailwind CSS, Prisma, PostgreSQL, Docker
• Key Features:
  • Add new contacts
  • Edit contact details (email, phone, name)
  • Full-stack type-safe development
  • Locally deployed application
  • Docker support for easy deployment
• Link: View Project

A comprehensive collection of machine learning implementations from the "Machine Learning for Everybody" course.

• Description: Interactive Jupyter notebooks demonstrating fundamental and advanced machine learning concepts with real-world datasets. Covers supervised and unsupervised learning techniques with practical applications.
• Tech Stack: Python, Jupyter Notebook, TensorFlow, Pandas, Numpy, Matplotlib
• Key Concepts Covered:
  • Linear Regression (Seoul Bike Sales Dataset)
  • Nearest Neighbor & Naive Bayes
  • Support Vector Machines
  • Neural Networks
  • Unsupervised Learning (K-Means, Seeds Dataset)
  • Loss Functions & Data Splits
• Link: View Project

• Advanced game development and level design
• Performance optimization for competitive programming
• Cloud architecture and deployment strategies
• Advanced AI/ML applications and fine-tuning models
• Real-time system design
• Unreal Engine
• Devops, Terraform (Infrastructure as Code)

I'm always excited to discuss software engineering, game development, algorithms, or collaborate on innovative projects. Feel free to reach out!

• Email: pittswilliam715@gmail.com
• LinkedIn: linkedin.com/in/william-pitts-2r2
• itch.io: reixyz.itch.io

• 💻 Software Engineer passionate about creating impactful technology

• 🎮 Game developer building interactive experiences with Godot

• 🧠 Competitive programmer solving Advent of Code challenges

• 🤖 Machine learning practitioner applying AI to real-world challenges

• 🌐 Full-stack developer building web applications from concept to deployment

• ⚙️ Automation enthusiast creating tools that save time and drive impact

• 🎯 Detail-oriented problem solver with a focus on clean, optimized code

• Check out my games on itch.io

⭐ If you find my projects interesting or useful, please consider starring them! Your support motivates me to keep building amazing things. Thanks for visiting my profile!

Last updated: February 2026