Nikhil Nayak in

Nikhil Nayak

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Principal Research Scientist at Red Hat
📍 Cambridge, Massachusetts, United States

Nikhil is a Principal Research Scientist at Red Hats AI Innovation Team specializing in large language models. The Harvard graduate focuses on efficient fine-tuning, continual learning, and trustworthy AI. His research contributions have been merged into major open-source libraries like Hugging Face and he has co-authored several papers on AI model efficiency.

His novel method for LLM fine-tuning, Orthogonal Subspace Fine-Tuning (OSFT), was officially merged into Hugging Faces widely used PEFT library.

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Experience
3 Years
Current Role
Principal Research Scientist
Job Level
Junior
Location
Cambridge, Massachusetts, United States
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Priorities

Topics Nikhil cares about

LLM Fine-Tuning
Co-authored the "Sculpting Subspaces" paper and developed the Orthogonal Subspace Fine-Tuning (OSFT) method to improve continual learning in LLMs.
AI Model Efficiency
Researches methods to discover and eliminate redundancies in language models, as demonstrated in his "Hopscotch" project.
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Career

Work history

8-2025
Principal Research Scientist
Red Hat
11-2024 - 8-2025
Research Engineer
Red Hat
7-2024 - 10-2024
Research Engineer
IBM
8-2023 - 5-2024
Research Assistant
MIT Brain and Cognitive Sciences
6-2023 - 8-2023
AI & Data Science Summer Associate
JPMorgan Chase & Co.
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Media appearances

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Education
8-2022 - 5-2024
Master of Science - MS
Harvard University
8-2017 - 7-2021
Bachelor of Engineering - BE
RV College Of Engineering
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Behavioral profile

DISC profile (public)

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