Kate D'orazio is a product leader with a decade of experience building and scaling production-grade AI services across cloud, healthcare, and climate infrastructure domains. As Head of Product at BuildQ, she is applying responsible AI practices to finance renewable energy projects, after leading OCI Generative AI, Document Understanding, and Vision at Oracle—services that together generated millions of monthly API calls. She has a track record of shipping high-stakes, compliant AI features (including Oracle Health’s first LLM-powered capability) and translating developer-facing capabilities into commercial revenue. Early roles at Microsoft and PubMatic sharpened her go-to-market and user-research instincts, while hands-on contributions to Oracle’s data science samples show she still codes end-to-end on document and vision integrations. Based in the NYC area, she advises mission-driven AI startups and combines behavioral science training from Harvard with practical AI product execution.
10 years of coding experience
8 years of employment as a software developer
Microsoft Professional Program for Artificial Intelligence, Microsoft Professional Program for Artificial Intelligence at Microsoft Academy
Bachelor’s Degree Psychology Economics, Bachelor’s Degree Psychology Economics at Harvard University
This repo contains a series of tutorials and code examples highlighting different features of the OCI Data Science and AI services, along with a release vehicle for experimental programs.
Role in this project:
Full-stack Developer
Contributions:15 commits, 9 PRs, 2 pushes in 2 days
Contributions summary:Kate contributed to the OCI Data Science and AI samples repository by adding and modifying code related to AI document understanding. The commits include the creation and modification of Python scripts demonstrating key-value extraction, text extraction, and table extraction functionalities, which involve interacting with Oracle Cloud Infrastructure (OCI) services. The user also updated the HTML files for LiveLabs, indicating front-end development work. The user's work focuses on both backend (Python scripts) and frontend (HTML) aspects of the project.
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