Nikhil Nayak

Doer
DISC Type : sd

Principal Research Scientist at Red Hat

Cambridge, Massachusetts, United States

Overview

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.

Personality Overview

Fast-paced

Deliberate Doer

Strategic Planner

They exhibit a rare combination of being result-oriented but patient at the same time.  Reading between the lines and seeing beyond your words comes naturally to them. They might take some time to make their mind up but once they do, they don't change it easily.

Topics They Care 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.
Open-Source AI
Actively contributes to the AI community by merging his research into public libraries like Hugging Face's PEFT and developing open-source toolkits.

Media Appearances

Nikhil has no verified media appearances

Work History

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

Education

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

More Information

Social Presence :

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Exp : 3 Location : Cambridge, Massachusetts, United States Job Level : Junior Designation : Principal Research Scientist at Red Hat
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Insights For Selling To Nikhil

During A Call Or A Meeting

DO's

  • Stick to your standard pitch and qualifying script, don't try to wing it
  • During followups, use phone or text if needed, they should be fine
  • Focus on the results that your product produces, expect some strategic questions in return

DONT's

  • Don't focus too much on mutual contacts or bother about other stakeholders, focus on them
  • Don't take their patience for granted, avoid long-winding sermons
  • Don't go over them unless you are left with no other option

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Nikhil is

  • Strong proof of impact and their conviction will matter the most, but they wouldn't want to act unilaterally either
  • Will you ever get a clear answer from Nikhil

  • They will say no if they are not convinced but you will have to prompt them.

Insights For Deal Planning

    How fast (or slow) will Nikhil move?

  • They will want to understand things well but can move fast once they have a clear picture.
  • Can Nikhil take some risk or not?

  • They have good risk tolerance but are likely to think it through once or twice.

You And Nikhil

Personality Compatibility


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