RahulRahul is the name Buddha gave to his son (Also means Silver) ChandChand means "moon" in Sanskrit
राहुल चंद
MS CS · Stanford University
Hi, I am Rahul. I recently completed my MS CS from Stanford 🌲 . Previously I was an intern at the GEAR Lab at NVIDIA Research training GR00T N1.6 and working on offline RL. . Before that, I was a summer intern at NVIDIA's post-training Nemotron LLM team working on looped transformer, and contributed to Nemo-RL (async RL).
I was also part of the ILIAD group (Prof. Dorsa Sadigh's lab). Prior to Stanford 🌲 I was a Research Fellow at Microsoft Research on Transformer Compression & Extreme Classification. My current interests are in RL+LLM and Robotics.
At Stanford 🌲 I have been a TA for:
- CS 153 — Infra at Scale (Anjey Midha, Michael Abbot)
- CS 234 — Reinforcement Learning (Prof. Emma Brunskill)
- CS 224R — Deep RL (Prof. Chelsea Finn)
In the future
I look forward to getting replaced by AGI and work as a Wallace design protein farmer
.
In my previous life (most of which I have forgotten
), I completed my undergrad in CS from BITS Pilani and wanted to win India its first Oscar Award for Best International Film. For more details, check my CV or my favourite movies of all time.
Publications
CoRL 2025 Oral · Conference on Robot Learning
ICLR 2024 · International Conference on Learning Representations
Open Source
NVIDIA's open platform for humanoid robot learning — training, fine-tuning, and deploying GR00T foundation models.
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 is NVIDIA's open-source post-training library.
NeMo Gym is a framework for building reinforcement learning environments to train LLMs.
Stanford
NVIDIA
Microsoft Research
IISc
IIRS
BITS Pilani