I build software systems for simulation, modeling, and optimization of complex real-world behavior.
My work sits at the intersection of engineering, high-performance computing, and machine learning. I develop C++ and Python frameworks for physics-based simulation, with an emphasis on vehicle systems, aerodynamic behavior, numerical methods, and performance-oriented analysis. This includes building CFD-oriented workflows, implementing data and integration pipelines, and applying optimization techniques to improve model quality and decision-making.
I also develop practical software for operational and security-focused environments. My experience includes building automation tools in Rust, developing internal web applications with Python and Django, creating remediation and systems-management scripts in PowerShell, and supporting vulnerability assessment and defensive engineering efforts. Across projects, I prioritize correctness, maintainability, and performance.
I am especially interested in high-fidelity simulation, dynamic systems modeling, and engineering software that turns physical behavior and data into usable insight. While motorsport and automotive systems are a natural application area for my work, my broader focus is on building robust computational tools for technically demanding problems.
I approach software like an engineered system: modular, testable, and built with long-term reliability in mind.
