Summary
Iman Mohammadi is a Ph.D. student researcher and full-stack prototyper with a decade of experience building human-centered AI systems that bridge HCI, computer vision, and large language models. She has contributed to interdisciplinary research at institutions across the US, Europe, and Asia, with papers at CHI and CSCW and practical deployments of AI-powered recommendation and blockchain-enabled education platforms. Her work blends hands-on engineering—Django, React, Docker—with novel ML methods such as Transformer adaptations for user-driven policy personalization and one-shot robustness techniques for LLMs. Iman’s teaching and mentorship footprint is extensive, having led multiple head TA roles in algorithms, compilers, and numerical computation during her undergraduate studies. She also has experience creating datasets and IR methods for LLM evaluation, highlighting a knack for turning research prototypes into reproducible artifacts and real-world demos.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Sharif University of Technology
High School Diploma, Mathematics, High School Diploma, Mathematics at National Organization for Development of Exceptional Talents (Sampad)
University of California, Irvine
Persian, English, French