Taylor Denouden
Software Developer (Computer Vision) at Hakai Institute
Edmonton, Alberta, Canada
Summary
👤
Senior🎓
Top SchoolTaylor Denouden is a software developer specializing in computer vision and machine learning with 12 years of experience building production-ready systems for environmental research. Based in Edmonton, Alberta, Taylor designs and deploys semantic segmentation models and Dockerized multi-GPU training pipelines on AWS to automate marine kelp detection from UAV imagery, and has built tooling to mitigate glint in orthomosaics via mask-generation GUIs. Previously they developed full-stack data management and interactive visualization systems (React/D3) and standardized database APIs to support scientific workflows on the BC Central Coast. Their background in geomatics and an MMath in Computer Science informs a pragmatic approach to bridging geospatial data, research needs, and scalable ML infrastructure. Colleagues rely on Taylor for end-to-end delivery—from dataset preparation and automation to user-facing apps—bringing research-grade rigor to production deployments.
12 years of coding experience
3 years of employment as a software developer
BS, Geomatics, BS, Geomatics at University of VictoriaMMath, Computer Science, MMath, Computer Science at University of Waterloo
English
Stackoverflow
580reputation
34kreached
7answers
7questions
Github Skills (200)
prediction-model10
near10
web-application10
forge10
voc10
stac10
mnist10
imagery10
rgb10
variational-autoencoder10
autoencoder10
artificial-intelligence10
aws-cdk10
semantic-segmentation10
image-segmentation10
Programming languages (10)
Github contributions (5)
conda-forge/kelp-o-matic-feedstock
Feb 2023 - Jan 2025
A conda-smithy repository for kelp-o-matic.
Contributions:4 reviews, 24 PRs, 21 pushes in 1 year 11 months
tayden/clusterfck
Oct 2015 - Mar 2016
Contributions:29 commits, 8 pushes, 1 branch in 4 months
k-meanshierarchicalclusteringmeanshierarchical-clustering
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