Practice 02 · Digital Engineering & AI

AI & Software Engineering

Client delivery, our own products, and applied modelling — from keeping a production system healthy for years to turning industrial data into verifiable engineering outcomes.

01 · Selected work

Selected work

Business websites, apps for iPhone, iPad and Mac, and open-source tools. Explore each project and see it in use.

Business website

BGM Dance Studio

Self-serve updates schedule and price changes once took 2+ business days

Website maintenance and content management for a dance studio.

Explore work →

Product support & policies → · Case studies →

02 · Interpretable AI

Applied modelling

Machine learning · 2024

Tailings facility risk benchmarking

A capstone project with a global mining-engineering consultancy, completed as part of a four-person University of British Columbia Master of Data Science team.

Roughly 300 recorded tailings storage facility failures and about 1,800 operating facilities, modelled on precipitation, seismic hazard, dam raise method and operational status. The deliverable was a reproducible pipeline and a prediction dashboard; the gradient boosting model reached an F2 of 0.826 on held-out test data.

The design choice worth noting is interpretability. The tool was built to pre-screen facilities for closer human review, not to hand down a verdict — which is the same reason it was usable at all.

How we engage

  • Fixed-scope build — a defined deliverable with written scope, acceptance criteria and a fixed price.
  • Ongoing maintenance — monthly retainer for content updates, dependency upgrades, monitoring and small changes.
  • Technical advisory — day or week rate: architecture review, AI agent workflow design, data pipeline design, interpretable risk modelling.