Samyak Parajuli

I'm currently a PhD student at UT Austin advised by Amy Zhang. I'm broadly interested in multimodal learning and self-supervised learning within decision-making contexts. My work is supported by the NSF CSGrad4US Fellowship.

Previously, I worked as a research engineer at Perplexity AI, focusing on pretraining, retrieval, and RLHF for LLMs, and at Scale AI, where I specialized in multimodal generative models, semantic search, and interpretability. I recieved a Master's and Bachelor's degree from UC Berkeley, where I researched multi-agent and unsupervised reinforcement learning working with Alexandre Bayen and Sergey Levine.

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Research