Rachael Creager
Senior Software Engineer at Iterable
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRachael Creager is a Senior Software Engineer in San Francisco with nine years of experience delivering simple, robust developer workflows and scalable ML infrastructure. At Iterable, she leads the Machine Learning Platforms team, provisioning AI infrastructure via Terraform for a new EU data center ahead of schedule and designing GitOps CD for Databricks compute with Github Actions and Scala. She emphasizes cross-team collaboration with ML Platforms, Data Science, and SRE to deliver lean, secure solutions, including SCIM-based user provisioning and security hardening for Databricks. She leverages data engineering and testing discipline—using Databricks Change Data Feed to capture row-level changes and writing thorough integration tests—and recently led an intern project to build configurable data-synthesis tools. Her background spans AI privacy testing at Insight Data Science and a PhD in Physics from UPenn, with leadership roles in Penn Data Science Group and diversity initiatives in physics. Based in the Bay Area, she blends research rigor with production-focused execution to turn complex requirements into auditable, scalable systems.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.S.), Physics, 3.615, Bachelor of Science (B.S.), Physics, 3.615 at University of Notre DameUniversity of Pennsylvania
English, German, French
Stackoverflow
72reputation
11kreached
2answers
0questions
Github Skills (17)
nlp8
datasets8
natural-language-processing7
angular6
angularjs6
typescript6
validating5
face5
sentiment3
adversarial-machine-learning3
face-detection3
adversarial-attacks3
location2
sentiment-analysis2
data-science1
Programming languages (4)
Github contributions (5)
rccreager/skinform_me
Aug 2016 - Jan 2023
Contributions:8 PRs, 21 pushes, 5 branches in 6 years 6 months
rccreager/hideface
Jan 2020 - Feb 2020
A set of tools for implementing popular face detection algorithms and adversarial attacks, then validating (non) detection after attack
Contributions:63 commits, 5 PRs, 90 pushes in 29 days
adversarial-attacksdetectionadversarial-machine-learningadversarialface-detection
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