Neel Kothari  

2025-Present

Involved in LLM Token selection optimization research with Dr. Alexey Tumanov in the Systems for AI Lab [SAIL]

2024-2025

Involved in NLP research, investigating Cultural Biases in Large Language Models (LLMs) with Dr. Wei Xu [NLP X Lab]

2023

Got involved with SimPPL, a research collective primarily based in the Global South that develops open-access trust and safety tools for international organizations, including nonprofits and newsrooms. Here, guided by Dr. Swapneel Mehta, I developed robust and efficient solutions driven by social trust and safety, addressing problems related to the mitigation of misinformation, disinformation, and Deepfakes. We aim to build better civic integrity tools such as Parrot Report and Sakhi. We collaborated with the Anti-Defamation League, Tech Global Institute, The Sunday Times, Ippen Media, and Deutsche Welle. Our work has received support from the Wikimedia Foundation (WikiCred), Google exploreCSR, AWS, the NYC Media Lab, AI2Amplify (German Federal funding), and the NYU Tech Venture Workshop.

2022

Got involved in long-term research as a Machine Learning Intern at the Indian Institute of Technology-Patna (IIT-P), guided by Dr. Raju Halder and Medhasree Ghosh, where I experimented with temporal graphs, time-varying 3D matrices, Graph Neural Networks, and using models such as Autoencoders, CNNs, LSTMs, RNNs, BERT, GRUs, and GANs on Ethereum data to interpret the evolving behavior of phishing/fraudulent users.

2021

I got involved with:

• Dr. Pratik Kanani in long-term research in the domain of Computer Networks and Computer Vision, particularly providing low-latency and accurate solutions for healthcare/social applications.
• Dr. Kiran Bhowmick in my undergrad dissertation on Deepfake Detection.
• Collaboration with Prof. Ruhina Karani in Computer Vision research solving multimodal classification problems. (publication)
• Dr. Aruna Gawade in Medical Imaging. (publication)
• Dr. Ramchandra Mangrulkar in Image Encryption.