Nikhil Barhate


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I work on LLM post-training in the ML systems team at Scale AI.

I am broadly interested in machine learning research, engineering and applications. I like to learn about everything from tech, sci-fi to economics and existentialism. In my free time I enjoy hiking, watching documentaries, ghibli movies and exploring new places.

In summer 2023 I interned with AMD High Performance Computing team, where I worked on optimal CPU-GPU partitioning for efficient Sparse Matrix-Vector Multiplication. During my time at University of Colorado Boulder I worked on hierarchical and multimodal transformers for robotics at the HIRO lab.

Before that, I was a Research Visitor at Mila - Quebec Artificial Intelligence Institute, working on retrieval augmented reinforcement learning, advised by Anirudh Goyal and Professor Yoshua Bengio. I also briefly worked on domain adaptation for semantic segmentation in computer vision at VAL IISc.

I am based in San Francisco and I like to explore the city and meet new people. Feel free to reach out for a chat!