Yixin Huang

Hi, I'm

Yixin Huang

|

Research Assistant at UCSD Hao AI Lab
M.S. Computer Science Student โ€ข San Diego, CA

research.py
class Researcher:
    def __init__(self):
        self.focus = [
            "LLM Systems",
            "Agent Evaluation",
            "GPU Infrastructure"
        ]
        self.tools = [
            "vLLM", "SGLang",
            "NeMo RL", "Ray"
        ]
    
    def build(self):
        return "๐Ÿš€ Innovation"
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About Me

"A journey of a thousand miles begins with a single step." โ€” Confucius

I work on LLM systems, evaluation, and GPU-accelerated ML infrastructure. Currently an M.S. Computer Science student at UC San Diego (GPA: 4.0), previously B.A. in Computer Science & Applied Mathematics from UC Berkeley (GPA: 3.86).

Research Interests

  • LLM evaluation & benchmarks (agents, games, scientific reasoning)
  • Large-scale training & inference systems (FSDP, vLLM, Ray, Slurm)
  • GPU efficiency, memory systems, and model parallelism
  • Reinforcement learning for agents (GRPO, NeMo-Gym)

Current Focus

  • ๐Ÿ”„ Scaling agent evaluation with interactive environments
  • โšก Training & serving efficiency on multi-GPUs
  • ๐ŸŽฏ Reward modeling and RL for LLM agents

Tech Stack

Python PyTorch CUDA vLLM SGLang NeMo RL Areal Ray Docker Slurm FSDP DeepSpeed Linux Git

Featured Projects

๐Ÿ”ฌ

VideoScience

CVPR

Benchmark for scientific correctness in text-to-video models. Evaluates physics & chemistry concepts using VLM-as-Judge scoring.

Python Benchmark Video
View Project โ†’
๐Ÿค–

NVIDIA NeMo Gym

โญ 603

Build RL environments for LLM training. Integrating Sokoban & Tetris for scalable RL training, reward profiling, and GRPO.

Python RL NVIDIA
View Project โ†’
๐ŸŒ

lmenv

LLM environment framework for interactive evaluation. Standardized interfaces for game-based agent testing.

Python Framework
View Project โ†’

Get in Touch

Feel free to reach out for collaborations, discussions, or just to say hi!

๐Ÿ“ง Recruiters: Feel free to reach out at yixinhuang48@gmail.com

๐Ÿ’ฌ Open an issue or discussion on any of my repositories!