Rahul Chand

RahulRahul is the name Buddha gave to his son ChandChand means "moon" in Sanskrit

राहुल चंद

MS CS · Stanford University

Looking to escape permanent underclass & increase shareholder value (full-time roles)

Hi, I am Rahul. I am currently a MSCS student at Stanford 🌲 . Previously I was an intern at the GEAR Lab at NVIDIA Research working on GR00T N1.6 and offline RL. . Before that, I was an intern at NVIDIA's post-training Nemotron LLM team working on latent reasoning, and contributed to Nemo-RL (async RL) and Nemo-Gym.

I was also part of the ILIAD group (Dorsa Saidgh's lab). Prior to joining Stanford 🌲 I worked as a Research Fellow at Microsoft Research on Transformer Compression & Extreme Classification. My current interests are in RL+LLM and Robotics (You can have super intelligence in an API for 20$/month but it would still be fundamentally limited unless you can give it a physical body).

At Stanford I have also been a TA for:

In the futurefuture meme I look forward to getting replaced by AGI and work as a Wallace design protein farmerwallace design.

In my previous life, I completed my undergrad in CS from BITS Pilani. For more details, check my CV.

Publications

Data Retrieval with Importance Weights for Few-Shot Imitation Learning

Amber Xie, Rahul Chand, Dorsa Sadigh, Joey Hejna

CoRL 2025 Oral · Conference on Robot Learning

Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction

Anirudh Buvanesh*, Rahul Chand*, Yashoteja Prabhu, Manish Gupta, Manik Verma (* = Equal Contribution)

ICLR 2024 · International Conference on Learning Representations

CapsFlow: Optical Flow Estimation with Capsule Networks

Rahul Chand, Rajat Arora, Ram Prabhakar Venkatesh Babu

Open Source

Isaac-GR00T 6000+ ⭐ · Contributor

NVIDIA's open platform for humanoid robot learning — training, fine-tuning, and deploying GR00T foundation models.

gpu_poor 1400+ ⭐

Tool to check vRAM & token/s requirement for any LLM for consumer hardware. Supports ggml, HuggingFace, bitsandbytes, QLoRA & gradient checkpointing. Used over 120k+ times by 20k+ users.

Starter tutorial for inference with LLaMA in C.

Nemo-RL 1k+ ⭐ · Contributor

NeMo RL is NVIDIA's open-source post-training library.

Nemo-Gym 70+ ⭐ · Contributor

NeMo Gym is a framework for building reinforcement learning environments to train LLMs.

Stanford Stanford
NVIDIA NVIDIA
Microsoft Research Microsoft Research
IISc IISc
IIRS IIRS
BITS Pilani BITS Pilani