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 in CS at Stanford 🌲. Most recently, I worked at Skild AI on their post-training deployment team. Before that, I was at GEAR Lab at NVIDIA Research, where I trained robot foundation models (GR00T) and worked on RL. I was also an intern at NVIDIA's post-training 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 what makes good robotics data good. I was also a Teaching Assistant for:
- CS 224R — Deep RL (with Prof. Chelsea Finn, Founder of Physical Intelligence π)
- CS 234 — Reinforcement Learning (with Prof. Emma Brunskill)
- CS 153 — Infra at Scale (with Anjey Midha and Michael Abbot)
Before that, I was a Research Fellow at Microsoft Research on model compression. My current interests are robotics (and trying to find meaning in a post-singularity world).
In the future
, I look forward to getting replaced by AGI and working as a Wallace Design Protein Farmer
.
In my previous life
, I wanted to win an Oscar Award for Best International Film. Check out 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