I'm a Computer Science MComp student and software developer based in Wellington.
I build things across machine learning, systems, and tools that make sense: clean, intentional engineering with a focus on clarity and robustness.
- MComp Research: Diffusion-based anomaly detection for electromagnetic signals
- Tools & Systems: Python, Go, ML pipelines, server-side automation
- Creative Tech: Blender simulations, physics tools, and visual systems
- Tech + Philosophy: Interested in how people build tools and identities
- Languages: Python, Go, JavaScript/TypeScript, Bash
- ML / Data: PyTorch, NumPy, pandas, scikit-learn
- Systems / DevOps: Linux, Docker, cron jobs, Raspberry Pi, APIs
- Creative: Blender, Python scripting, simulation pipelines
- MComp Diffusion Models: End-to-end multi-channel 1D diffusion pipeline for anomaly detection
- HealthAgent: View health trends and goal progress, with automatic syncing to apple health
- AndoSim: Blender physics tools + simulation experiments
- Finance Sync System: Pi-based automation pulling bank transactions → Google Sheets
If you want to talk about ML, systems, simulation, or philosophical perspectives on tech, feel free to reach out.