RahulRahul is the name Buddha gave to his son (it also means silver) ChandChand means "moon" in Sanskrit
राहुल चंद
Hi, I am Rahul. I completed my master's at Stanford 🌲. Most recently, I worked at Skild AI on their post-training team. Before that, I was at GEAR Lab at NVIDIA Research, where I trained robot foundation models (GR00T N1.6) and worked on offline RL. I was also an intern at NVIDIA's post-training Nemotron LLM team, working on looped transformers, and contributed to Nemo-RL (async RL).
At Stanford 🌲, I was part of Prof. Dorsa Sadigh's ILIAD lab, working on robotics data. Before that, I was a Research Fellow at Microsoft Research on transformer compression and extreme classification. My current interests are robotics (and trying to find meaning in a post-singularity world).
At Stanford 🌲, I was a Teaching Assistant for:
- CS 153 — Infra at Scale (with Anjey Midha and Michael Abbot)
- CS 234 — Reinforcement Learning (with Prof. Emma Brunskill)
- CS 224R — Deep RL (with Prof. Chelsea Finn)
In the future
, I look forward to getting replaced by AGI and working as a Wallace Design Protein Farmer
.
In my previous life (most of which I have forgotten
), I completed my undergrad in CS at BITS 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
Under Review
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 and token/s requirements for any LLM on consumer hardware. Supports ggml, HuggingFace, bitsandbytes, QLoRA, and gradient checkpointing. Used 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