Hannah Grandine is a software engineer based in Seattle with eight years of experience building production-grade ML and full‑stack systems across travel, cybersecurity, and cloud gaming. She has driven fraud reduction and feature engineering at Expedia and deployed UEBA/Fraud UBA models in production at DefenseStorm, pairing Python, Airflow, AWS, Java, and CI/CD automation to operationalize data science. Comfortable across the stack, she’s built everything from XGBoost pipelines and time‑series forecasting to Angular front ends and Lucene‑query proofs of concept for LLM-driven search. Hannah also brings a strong teaching and product sensibility—she’s developed educational Python games, led a weekly ML book club, organized an LLM hackathon, and mentors cross‑functional teams. Her background in comparative literature and Russian studies combined with an MS in Computer Science (Data Science) gives her a knack for translating complex technical ideas into clear, user-focused solutions.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science Specialization in Data Science, Master of Science - MS Computer Science Specialization in Data Science at Seattle University
High School, High School at Liberty High School
Bachelor of Arts (B.A.) Comparative Literature major Russian and East European Studies minor, Bachelor of Arts (B.A.) Comparative Literature major Russian and East European Studies minor at Oberlin College
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.