Steve Draper

Senior Data Scientist

Austin, Texas, United States
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Summary

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Senior
🎓
Top School
Steve Draper is a Senior Data Scientist in Austin with nine years focused on machine learning and a decades-long software engineering pedigree stretching back to systems work at IBM and Novell. He combines deep expertise in NLP and structured-data modeling—recently building reading-error models from children's audio at Amira Learning—with strong foundations in deep learning, optimization, and functional programming. Steve has translated research on fairness, explainability, and latent-space analysis into production at CognitiveScale, pairing PyTorch models with genetic-algorithm and autoencoder-driven investigations. Comfortable across the stack, he has hands-on experience designing inference engines, streaming pipelines (including Haskell-based processing), and scalable microservices in Scala. His background as a co-founder and architect of an incremental replication system shows a rare mix of low-level distributed-systems craftsmanship and modern ML product delivery.
code9 years of coding experience
job34 years of employment as a software developer
bookCoursera
bookBachelor's Degree, Mathematics, 2i, Bachelor's Degree, Mathematics, 2i at University of Cambridge
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Stackoverflow

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Github Skills (81)

queue10
filter10
micronaut9
redis-client9
api9
tomcat9
haiku9
python9
gpu9
publish9
deep-learning9
redis9
spring9
machine-learning9
grid9

Programming languages (4)

JavaShellJupyter NotebookPython

Github contributions (5)

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SteveDraper/rl_book

Jul 2019 - Aug 2019

Contributions:8 commits in 24 days
Contributions:31 reviews, 38 commits, 20 PRs in 9 months
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