Georges Labrèche

Computer Systems Analyst Technical Lead at AppCard, Inc.

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
Georges Labrèche is a multidisciplinary engineering leader with 14 years of experience building and modernizing large-scale software and space systems, currently technical lead for AppCard’s US engineering and QA teams in New York. He blends hands-on spacecraft operations and on-board ML expertise from ESA’s OPS-SAT program—where he led first-in-orbit neural network and onboard training experiments—with product and people leadership across healthtech and cloud-native startups. Georges has repeatedly shipped high-throughput systems (processing ~500M transactions annually) and architected secure DevOps and CI/CD infrastructures for both ground stations and enterprise services. He mentors and scales distributed teams, drives cross-functional roadmaps, and reduces system complexity through pragmatic architectural choices. Unusually, his background spans mission control automation, embedded TensorFlow Lite deployments, and civic-tech program leadership, giving him a rare mix of spaceflight rigor and consumer-facing software delivery.
code14 years of coding experience
job15 years of employment as a software developer
bookMaster of Science - MS Spacecraft Design, Master of Science - MS Spacecraft Design at Luleå University of Technology
bookBachelor of Applied Science - BASc Computer Software Engineering, Bachelor of Applied Science - BASc Computer Software Engineering at University of Ottawa
bookMaster of Arts - MA International Affairs, Master of Arts - MA International Affairs at The New School
bookBaccalauréat Scientifique Science General, Baccalauréat Scientifique Science General at Lycée Français de Dakar, Sénégal
languagesEnglish, French, Spanish
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Github Skills (143)

transliteration10
python10
tensorflow-lite10
deep-learning10
cyrillic10
latin10
neural-network10
k-means-clustering10
kmeans10
csv-parser10
tensorflow10
classification-model10
blender10
machine-learning10
robot10

Programming languages (15)

JavaC++CVueHTMLJupyter NotebookTypeScriptDockerfile

Github contributions (5)

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On November 8, 2020, this project achieved the first use of deep convolutional neural networks (CNN) on-board a spacecraft.
Contributions:6 releases, 198 commits, 55 PRs in 1 year 11 months
awarenesskmeans-clusteringk-meansclassifiereuropean
georgeslabreche/mars

May 2019 - Jan 2020

Plotting solar radiation on Mars as a function of many parameters.
Contributions:83 commits, 8 PRs, 164 pushes in 7 months
sentinel-1parametersplanetaltituderadiation
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