Ali Vosoughi
Machine Learning Intern, Multimodal Agents & Generative Systems
City of Rochester, New York, United States
Summary
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Rockstar🎓
Top SchoolAli Vosoughi is a multimodal AI researcher and PhD candidate who builds agentic generative systems and grounded audio-visual-language models, currently interning on Multimodal Agents & Generative Systems at Apple. Over five years he has driven research and engineering across industry labs—contributing to audiovisual foundation models at Microsoft Research, real-time spatial audio and text-to-reverb generation at Smule, and counterfactual audio-language methods at Bosch that led to an ICASSP paper and a U.S. patent. He combines scalable data curation and distributed training pipelines with practical creative applications, from prompt-controllable spatial audio to LLM-gated curation for large-scale model training. Based in Rochester, his work blends rigorous academic research with product-minded prototyping, aiming to make multimodal understanding and generation both reliable and interactive.
5 years of coding experience
Ph.D. Candidate, Electrical & Computer Engineering (Expected 2026), Ph.D. Candidate, Electrical & Computer Engineering (Expected 2026) at University of RochesterBachelor of Science - BS, Electrical and Computer Engineering, Bachelor of Science - BS, Electrical and Computer Engineering at Sharif University of Technology
Turkish, Azerbaijani, Persian, English
Github Skills (2)
time-series4
inference4
Programming languages (1)
Github contributions (5)
ali-vosoughi/CausalClimate
Sep 2021 - May 2022
Contributions:12 commits, 11 pushes, 1 branch in 7 months
Large-scale-causality-inference/Large-scale-nonlinear-causality
Jun 2021 - May 2022
Inference of relations between nodal time-series observations.
Contributions:83 commits, 2 PRs, 59 pushes in 11 months
relationsnodalinferenceobservationstime-series
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