Amanda Casari
Staff Developer Relations Engineer
United States
Summary
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Rockstar🎓
Top SchoolAmanda Casari is a Staff Developer Relations Engineer at Google with 11 years of experience blending open source research, applied ML, and ecosystem-focused program leadership to strengthen contributor and maintainer resilience. She leads cross-disciplinary teams in the Google OSPO, partners with academic centers like the Vermont Complex Systems Center, and co-authored the O’Reilly-featured feature engineering codebase used alongside Alice Zheng’s book. Her background spans product, data science, and control systems engineering—from shipboard systems in the US Navy to serverless and CI/CD at Google—giving her a rare mix of operational rigor and systems thinking. An open data and privacy-minded builder, she designs programs and tooling that make complex networks and ML workflows more usable and sustainable. Amanda also channels community stewardship into practice through advisory roles with OSCA and Vets Who Code and by volunteering in grassroots organizations like Green Mountain Roller Derby.
11 years of coding experience
13 years of employment as a software developer
Certificate Global Sustainability Summer School, Certificate Global Sustainability Summer School at Santa Fe InstituteCertificate of Graduate Studies Complex Systems, Certificate of Graduate Studies Complex Systems at University of VermontB.S. Control Systems Engineering, B.S. Control Systems Engineering at United States Naval Academy
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
cosine-similarity10
pandas10
jupyter-notebook10
feature-engineering10
python10
data-analysis9
machine-learning9
Programming languages (5)
Github contributions (5)
alicezheng/feature-engineering-book
Dec 2017 - Aug 2020
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Role in this project:
Data Scientist
Data ScientistContributions:29 commits, 2 PRs, 1 push in 2 years 8 months
Contributions summary:Amanda appears to be contributing to a feature engineering project for machine learning, as indicated by the repository description. The commits focus on creating feature arrays and exploring the impact of different features in an academic paper recommender system implemented within a Jupyter Notebook. The user tests different techniques such as exploring feature interactions, creating bins of numerical features and the use of cosine similarity.
pythondata-sciencedeep-learningmachine-learningalice
google/across
Oct 2020 - Jun 2022
ACROSS - Attributing Contributor Roles in Open Source Software
Contributions:1 review, 9 commits, 6 PRs in 1 year 8 months
metricscontributoropen-source-softwareworkshop
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