Mahdis Safari is a PhD student and Graduate Teaching Assistant in Computer Science at Oregon State University with nine years of experience spanning AI research, software engineering, and data science. Her research focuses on schema matching using large language models, where she evaluates LLM-based methods against classical approaches while prioritizing data privacy through open-source models and careful prompt engineering. She has hands-on research experience building an entity-oriented Persian search engine and practical skills from teaching bioinformatics and algorithm design to developing a Unity VR educational game. Comfortable bridging theory and applied systems, she combines machine learning research with information retrieval and engineering pragmatism. Colleagues describe her as curious and methodical, often exploring underexamined trade-offs between model performance and privacy.
9 years of coding experience
B.Sc., Computer Engineering, B.Sc., Computer Engineering at Amirkabir University of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Oregon State University
Contributions:1 push, 1 branch in 3 years 7 months
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