Callista Christ is a Data Engineer with 8 years of experience building production-ready data and ML pipelines across research and enterprise settings, currently at United Airlines after leadership roles in data analytics engineering. With a Physics and Astrophysics background from the University of Chicago, she combines rigorous quantitative modeling (MCMC, ResNet improvements on TPU) with practical engineering—designing reproducible Docker/Singularity pipelines, CI-driven testing, and scalable ETL for millions of tweets and image datasets. She has led teams of up to 10, shifting research groups toward software engineering best practices while delivering measurable accuracy gains and published research. Comfortable across cloud, NLP, computer vision, and SQL-backed data platforms, Callista brings a researcher's curiosity and an engineer's discipline to operationalizing complex data products.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at University of Chicago
App Engine Project created to study for the Google Associate Cloud Engineer certification
Contributions:4 PRs, 32 pushes, 4 branches in 1 month
gcpappengineapp-enginegooglegoogle-cloud-platform
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