Ethan T
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolEthan T is an experienced software engineer with eight years of hands-on experience and a Computer Science background from Tufts University, actively seeking full-time opportunities in the San Francisco Bay Area. He has practical open-source contributions to the well-regarded featuretools library, where he focused on robust variable type handling, serialization fixes, schema updates, and test coverage—skills that reflect attention to data integrity in automated feature engineering. Comfortable working at the intersection of data science and engineering, he demonstrates a knack for improving core library functionality rather than surface-level features. Ethan’s recent graduation path and relocation to the Bay Area suggest strong motivation to transition into impactful roles in ML tooling or data infrastructure. He combines practical debugging and testing rigor with an engineer’s mindset for maintainable, production-ready code.
8 years of coding experience
Bachelor of Engineering - BE, Computer Science, Junior, Bachelor of Engineering - BE, Computer Science, Junior at Tufts University
Stackoverflow
1reputation
0reached
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Github Skills (10)
pandas10
machine-learning10
feature-engineering10
python10
data-science10
pytest9
scikit-learn9
scikit9
data-serialization8
serialization8
Programming languages (2)
Github contributions (5)
alteryx/featuretools
May 2020 - Jan 2022
An open source python library for automated feature engineering
Role in this project:
Data Scientist
Data ScientistContributions:6 releases, 4 reviews, 34 commits in 1 year 8 months
Contributions summary:Ethan primarily focused on modifying and maintaining the `featuretools` library, which is designed for automated feature engineering. Their work involved fixing bugs related to variable types, particularly around string conversions and serialization. They also updated the schema versions, modified the `find_variable_types()` function, and added tests to ensure the correct handling of different variable types. This indicates a strong focus on core library functionality and data handling within the context of automated feature engineering.
python-librarypythondata-scienceautomated-machine-learningmachine-learning
tuethan1999/twitter-crypto
Apr 2018 - Aug 2020
streams tweets from a specific username, and buys if the post starts with $<symbol> from both binance and bittrex
Contributions:6 commits, 8 pushes, 1 branch in 2 years 5 months
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