Lucas Roberts

New York, New York, United States
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Summary

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Rockstar
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Lucas Roberts is a software engineer with 10 years of experience building forecasting, supply chain, digital advertising, insurance, and banking applications using Python, Postgres, C, and Spark (Scala/Java) in Linux environments. He combines production engineering with applied research—having worked on horticulture and sports statistics projects—and has contributed to SciPy by implementing the Yule–Simon distribution and associated tests. Comfortable across backend systems and numerical computing, he has added automatic-differentiation improvements to QR decomposition code, reflecting deep attention to algorithmic detail. Based in New York, he favors pragmatic, test-driven development and can be reached via his Virginia Tech email.
code10 years of coding experience
bookVirginia Tech
languagesRomanian
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Stackoverflow

Stats
1,303reputation
288kreached
45answers
9questions
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Github Skills (15)

algorithms10
scipy10
python10
distributions10
scientific-computing10
statistic10
stat10
numpy9
unit-testing9
igraph6
boto6
pycharm6
dictionary6
pytest6
amazon-s36

Programming languages (5)

JavaScriptGoHTMLRubyPython

Github contributions (5)

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scipy/scipy

Sep 2018 - Mar 2021

SciPy library main repository
Role in this project:
userBack-end Developer
Contributions:284 reviews, 71 commits, 91 PRs in 2 years 6 months
Contributions summary:Lucas implemented the Yule-Simon distribution and associated unit tests within the SciPy library. This included adding the distribution to the discrete distributions module, creating the necessary probability mass function (PMF), cumulative distribution function (CDF), and other statistical methods. The user also addressed code style issues, docstring formatting, and fixed errors in unit tests, enhancing the library's statistical capabilities and ensuring its correctness.
scipypythonscientific-computing
rlucas7/rlucas7.github.io

Jul 2021 - Jan 2025

Contributions:42 pushes, 1 branch in 3 years 6 months
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Lucas Roberts