Eric Lybrand
Staff Machine Learning Engineer at Shopify
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolEric Lybrand is a Staff Machine Learning Engineer at Shopify with 11 years of experience building real-time fraud and credit risk systems for high-volume financial products. He led the development of first-of-its-kind real-time card authorization and graph-embedding merchant fraud models and drove a major refactor of Shopify Capital’s probability-of-default model that enabled multi-market expansion for a multi-billion dollar loan portfolio. A Ph.D. mathematician, he brings research rigor—published work in JMLR and ACHA—into production ML, especially in compressed sensing, quantization, and signal-processing algorithms. Previously at Brex he shipped transaction- and ACH-fraud models and risk policies that materially reduced losses and abuse, and earlier research projects include wireless-based indoor localization and neural-noise simulation with cognitive scientists. He combines academic depth with hands-on ML serving platform design, favoring production-grade, low-latency solutions that operate across the entire customer journey.
11 years of coding experience
3 years of employment as a software developer
University of California, San DiegoBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at University of Georgia - Franklin College of Arts and Sciences
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (15)
electrophysiology10
mls10
greedy10
dtw10
digital-signal-processing10
signal-processing9
signal9
neuroscience9
docker-container8
time-series8
machine-learning8
python7
docker7
deep-learning7
neural-network6
Programming languages (1)
Github contributions (5)
elybrand/quantized_neural_networks
Apr 2020 - Jun 2021
Python code (packaged in Docker container) to run the experiments in "A Greedy Algorithm for Quantizing Neural Networks" by Eric Lybrand and Rayan Saab (2020).
Contributions:189 commits, 75 pushes in 1 year 2 months
python-codepythonericgreedy-algorithmneural-networks
elybrand/neurodsp
Jun 2020 - Sep 2020
Digital signal processing for neural time series.
Contributions:48 pushes, 23 branches in 2 months
dtwsignalneurosciencedigital-signal-processingbrain-computer-interface
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