Staff Data Scientist / Ml Engineer
CurrentAs an early employee, I have worn many hats across scientific, ML, and software engineering disciplines, as the company scaled from 20 to >200 people and > $1B valuation. Sample projects I’m involved with:* Led the ML-guided reconnaissance program to support our flagship nickel exploration in Northern Quebec.* Developed ML models on multispectral satellite imagery for outcrop identification and lithology classification, and rapidly iterated the models with ground-truthing from our reconnaissance team, leading to discovery of previously unmapped high-grade mineral occurrences.* Architectured and implemented the machine learning pipeline for large-scale remote sensing ML end-to-end, to support continental scale (> 1M km2) prospecting of Ni, Cu and Li, and reduced the ML model turnaround time from weeks to hours.* Developed ML-informed geological mapping with unsupervised clustering on airborne geophysics and remote sensing rasters; customized loss metrics for evaluation of clustering models against independent, sparse field observations. This enabled bootstrapping of large-area greenfield exploration activities with little ground truth. * Designed database schema and scalable data pipeline for processing and ingesting airborne geophysical surveys; system is used by the entire DS team for ingesting > 200 airborne geophysics surveys across the globe.
