Amin Samadi is an AI scientist and PhD in Education at UC Irvine who combines deep technical expertise in multimodal LLM systems with a research-driven focus on improving classroom dynamics and belonging. With a background in computer hardware engineering and a decade of experience, he has built platforms like TRAIL for human-AI collaboration and implemented reliable multimodal transcription and video-analysis pipelines to quantify teacher-student interactions. He bridges interdisciplinary teams, developing agentic workflows and persona-driven multi-agent experiments that push experimental variability in applied education research. Currently based in San Francisco and interning as an AI Scientist at ROI-AI, Amin uniquely blends classroom-centered research goals with production-ready AI tooling—translating complex papers and conversations into scalable, interpretable systems.
9 years of coding experience
2 years of employment as a software developer
Diploma Mathematics, Diploma Mathematics at Shahid dastgheib1
Bachelor of Science - BS Computer Hardware Engineering, Bachelor of Science - BS Computer Hardware Engineering at Isfahan University of Technology
Contributions:8 commits, 7 pushes, 3 branches in 1 year 7 months
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