Alexander Reeves
Data Scientist
Irvine, California, United States
Summary
👤
Senior🎓
Top SchoolAlexander Reeves is a data scientist with a PhD in Neuroscience from UCLA and nine years of experience translating complex research into production data systems for startups and public institutions. He has built end-to-end analytics and ETL pipelines on AWS, slashed cloud costs by orders of magnitude, and increased data throughput to support product-scale telemetry and labeling for millions of users. Comfortable moving between hands-on engineering, statistical modeling, and science-driven experimentation, he has shipped serverless ML microservices and designed data architectures that inform executive decision-making. His background in neural systems gives him a unique edge in modeling learning dynamics and designing rigorous, reproducible analyses. Now based in Irvine, CA, he’s focused on bringing analytic rigor and product-first thinking to small and mid-size tech teams looking to scale. Colleagues describe him as a pragmatic problem-solver who blends academic depth with startup velocity.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Neuroscience, Doctor of Philosophy (PhD), Neuroscience at University of California, Los Angeles
Github Skills (123)
gradient-descent10
python10
numerics10
scientific-computing10
numpy10
root-finding10
numba10
scipy10
fundamental10
interpolation10
blas10
lapack10
mpi10
ndarray10
convolution10
Programming languages (9)
Github contributions (5)
data-skeptic/model-hosting-in-lambda-example
Apr 2020 - Dec 2020
Using S3 as a repository for binary assets (models), load models on demand and use their predict functions.
Contributions:32 PRs, 28 pushes, 18 branches in 8 months
on-demandpredictdemandawsassets
areeves87/ludwig
Aug 2019 - Apr 2020
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
Contributions:2 PRs, 3 pushes, 1 branch in 8 months
ludwigdeep-learningtoolboxmachine-learningdeep-learning-models
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