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Slaymish/README.md

Hi, I'm Hamish 👋

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.

What I’m working on

  • 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

Tech I use

  • 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

Selected Projects

  • MComp Diffusion Models: End-to-end 1D diffusion pipeline for anomaly detection
  • AndoSim: Blender physics tools + simulation experiments
  • Personal Health Dashboard: Go backend + PostgreSQL + HTMX for tracking metrics
  • Finance Sync System: Pi-based automation pulling bank transactions �� Google Sheets

What I value

  • Clear thinking
  • Clean engineering
  • Tools that work
  • Alignment between intention and output

If you want to talk about ML, systems, simulation, or philosophical perspectives on tech, feel free to reach out.

Pinned Loading

  1. AndoSim AndoSim Public

    Blender add-on implementing "A Cubic Barrier with Elasticity-Inclusive Dynamic Stiffness" for cloth/shell physics simulation.

    C++ 14 1

  2. malware-classifier-backdoors malware-classifier-backdoors Public

    Forked from elastic/ember

    Implementation of backdoor attacks and defenses in malware classification using machine learning models.

    Python 1

  3. Spotify-Demographics-Analyzer Spotify-Demographics-Analyzer Public

    Visualize artist demographics in Spotify playlists using APIs from Spotify, Wikipedia, and OpenAI.

    Python

  4. pyspark-wildfire-prediction pyspark-wildfire-prediction Public

    Predicting US wildfire size classes using PySpark and MLlib. This project includes a full data pipeline for preprocessing, feature engineering, and running comparative ML experiments (PCA, feature …

    Python

  5. akahu-sheets-sync akahu-sheets-sync Public

    Python service that syncs BNZ transactions via Akahu API to Google Sheets with automatic categorization, deduplication, and balance reconciliation.

    Python

  6. PianoImprovisationHelper PianoImprovisationHelper Public

    React app to show the probable key signature of a song based on the itunes preview sample.

    TypeScript