RahulRahul is the name Buddha gave to his son (Also means Silver) ChandChand means "moon" in Sanskrit
राहुल चंद
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).
At Stanford 🌲 I was part of Prof. Dorsa Sadigh's ILIAD lab. Prior to it I was a Research Fellow at Microsoft Research on Transformer Compression & Extreme Classification. My current interests are in Robotics.
At Stanford 🌲 I was 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.
It was Gorky, Lenin or maybe Mayakovsky who said about the Russian revolution that the situation forced them to choose the one chance in a thousand. Because hope became infinitely greater if you took that chance than if you didn't take it. — My Night at Maud's (1969)
Publications
CoRL 2025 Oral · Conference on Robot Learning
NeurIPS 2026 · Evaluations and Datasets Track
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