Nihal Nayak
Postdoctoral Fellow at Harvard University
Cambridge, Massachusetts, United States
Summary
👤
SeniorNihal Nayak is a postdoctoral fellow at Harvard SEAS with 11 years of experience building zero-shot intelligent systems that generalize to new classes, tasks, and environments without human annotations. He completed a Ph.D. at Brown University under Stephen Bach and has published in top ML and NLP venues including ICLR, ACL, TMLR, KDD, and MLSys. His collaborative work on prompt-trained large language models such as T0 and BLOOM contributed foundational techniques that enabled deployed systems like ChatGPT and Claude. Nihal has industry experience as an ML research intern and NLP engineer, and has open-sourced frameworks and models downloaded thousands of times by practitioners. Based in Cambridge, MA, he blends rigorous academic research with practical tooling that accelerates real-world zero-shot deployments.
11 years of coding experience
7 years of employment as a software developer
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (54)
prompt-toolkit10
duolingo10
machine-learning10
prompt-tuning10
prompt-engineering10
natural-language-processing10
transfer-learning10
nlp10
synthetic-data10
synthetic-dataset-generation10
pytorch9
python9
language-learning9
deep-learning9
gpt9
Programming languages (1)
Github contributions (5)
BatsResearch/bonito
Feb 2024 - Feb 2025
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
Contributions:3 releases, 4 reviews, 21 PRs in 1 year
domain-adaptationgptllmsynthetic-datasynthetic-dataset-generation
BatsResearch/nayak-tmlr22-code
Aug 2021 - Jul 2022
Contributions:19 commits, 9 PRs, 11 pushes in 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.