Jeremy Shih
Software Engineering Manager at Alteryx
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJeremy Shih is a Software Engineering Manager in New York with a decade of experience building and leading teams at Alteryx, progressing from individual contributor to manager while shipping production ML and data tooling. He combines hands-on engineering—evident from contributions to the popular EvalML AutoML library, adding pipeline serialization and multiclass support—with people leadership and delivery ownership across product and platform initiatives. With a Master’s in Computer Science from Tufts and roots in both Boston and New York engineering ecosystems, he thrives at the intersection of applied machine learning and scalable software. Colleagues rely on him to translate research-grade models into reliable, test-covered pipelines and to mentor engineers growing into senior roles.
10 years of coding experience
7 years of employment as a software developer
High School Diploma, High School Diploma at Shanghai American SchoolMaster's degree Computer Science, Master's degree Computer Science at Tufts University
English, Chinese, Chinese
Github Skills (17)
xgboost10
data-pipelines10
python10
data-science10
scikit10
machine-learning10
time-series10
data-serialization10
serialization10
automl10
pipe10
pipeline10
scikit-learn10
data-pipeline10
data-analysis10
Programming languages (4)
Github contributions (5)
alteryx/evalml
Aug 2019 - Jan 2023
EvalML is an AutoML library written in python.
Role in this project:
Data Scientist
Data ScientistContributions:5 releases, 1049 reviews, 502 commits in 3 years 5 months
Contributions summary:Jeremy's contributions primarily involve enhancing the EvalML library, specifically by adding serialization functionality to utility and pipeline base classes. They've extended the functionality by implementing the ability to save and load pipelines for future use and adding tests to verify correctness. Further changes include adding multiclass functionality for XGBoost and Logistic Regression pipelines, expanding the library's capabilities to handle a broader range of classification tasks.
pythondata-sciencemodel-selectionoptimizationmachine-learning
moncybigdata/featuretools
Jul 2019 - Aug 2019
An open source python library for automated feature engineering
Contributions:121 commits in 24 days
python-librarypythonautomated-feature-engineeringengineeringfeature-engineering
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.