Ben Schreck
Software at Pickford AI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolBen Schreck is a versatile software engineer and entrepreneur with 11 years of experience building AI-driven products and infrastructure from research to production. He combines deep technical chops—contributing to Featuretools for automated feature engineering and leading core blockchain indexing and ML ingestion systems at Coinbase—with hands-on startup leadership as co-founder of Feature Labs and TrimIt AI. Currently driving AI-powered storytelling at Pickford AI in San Francisco, Ben bridges backend systems, data science, and scalable optimization (bringing scipy.optimize concepts to blockchain at Gauntlet). Outside software he’s built gourmet popups on mountain summits, hinting at a creative, experimental streak that informs his approach to product design and user-facing AI.
11 years of coding experience
10 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Massachusetts Institute of Technology
Stackoverflow
724reputation
22kreached
8answers
9questions
Github Skills (19)
python10
pandas10
machine-learning10
feature-engineering10
data-science9
scikit9
scikit-learn9
pytest8
data-serialization8
serialization8
testing8
ruby-on-rails6
heroku6
anaconda6
tensorflow6
Programming languages (9)
Github contributions (5)
alteryx/featuretools
Oct 2017 - Jul 2018
An open source python library for automated feature engineering
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:1 release, 60 commits, 39 PRs in 9 months
Contributions summary:Ben primarily contributed to the `featuretools` library, focusing on bug fixes and enhancements related to feature engineering. They addressed issues in calculating feature matrices, specifically concerning training windows and handling edge cases. The user also worked on maintaining the codebase, including code style improvements, removing Python 3.4 support, and ensuring correct variable types are preserved when normalizing entities. They also added support for Parquet serialization, improving data storage options.
feature-engineeringpythonmachine-learningdata-scienceautomated-machine-learning
bschreck/dotfiles
Aug 2015 - Dec 2020
Contributions:13 pushes, 1 branch in 5 years 5 months
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.