Summary
Corina Florescu is a Machine Learning Engineer with nine years of experience applying ML, IR, and NLP to real-world problems, currently building models at Allstate from the Dallas–Fort Worth area. She holds a PhD in Computer Science from the University of North Texas, where her research produced graph-based feature learning and learning-to-rank systems for automatic keyphrase extraction and scholarly document indexing. Her work bridges research and production: she translates academic approaches to scalable solutions that improve search, retrieval, and recommendation in digital libraries and enterprise settings. At UNT she focused on uncovering latent patterns in keyphrases—an approach that informs more interpretable and topic-representative ranking models. Colleagues describe her as both methodical and curious, comfortable with deep algorithmic development as well as engineering for impact. She pairs rigorous academic training with practical experience delivering NLP/IR capabilities in industry contexts.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, 4.0, Doctor of Philosophy (PhD), Computer Science, 4.0 at University of North Texas
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at University of Bucharest
English, Romanian