I'm a Computer Science graduate student at Oregon State University with a passion for building scalable systems, crafting production-ready applications, and solving complex engineering problems. Currently seeking Software Engineering internships where I can apply strong fundamentals and contribute to high-impact projects.

I love working across the stack—from backend data pipelines to mobile UI/UX. Whether it's optimizing database queries, building predictive models, or refactoring component architectures, I'm driven by the challenge of making systems more efficient, reliable, and user-friendly.

Languages: Python • C++ • C# • JavaScript • TypeScript • Java • RISC-V Assembly

Frameworks & Libraries: React Native • Expo • NumPy • Pandas • Flask • Unity • Drizzle ORM • Zustand

Tools & Platforms: Git/GitHub • Docker • Linux • Node.js • SQLite • VS Code

Core Competencies: REST APIs • Unit Testing • Scalable Architecture • Data Structures & Algorithms • CI/CD Fundamentals

React Native • Expo • TypeScript • SQLite • Drizzle ORM

A production-ready mobile app focused on privacy and usability. I built the core cycle prediction algorithms, health insight visualizations, and daily logging features while optimizing the data persistence layer for scalability.

Key Contributions:

• Engineered SQLite + Drizzle ORM data layer with optimized queries and schema design
• Refactored component architecture and improved render performance using Zustand state management
• Enhanced UI/UX through structured user testing and iterative improvements
• Collaborated through Git workflows, PR reviews, and modular code practices

Python • NumPy • Pandas • Statsmodels

A predictive modeling system that forecasts league standings using Poisson regression and Monte Carlo simulations. Built end-to-end data pipelines and evaluation tools to measure prediction accuracy.

Technical Highlights:

• Implemented Monte Carlo simulation engine processing 5,000+ season simulations
• Automated full data pipeline: ingestion → preprocessing → feature engineering → model training
• Optimized runtime through vectorization and efficient data structures
• Developed statistical evaluation framework for season-over-season accuracy analysis

• Email: jonahsutch11@gmail.com
• LinkedIn: linkedin.com/in/jonah-sutch-031589293
• Location: Corvallis, OR

Currently exploring opportunities in software engineering where I can build reliable, scalable systems and learn from talented teams. Always happy to discuss tech, football predictions, or interesting engineering problems!