I am a recent graduate from UC Berkeley with a B.A. in Computer Science and a B.A. in Applied Mathematics (May 2025, GPA: 3.86/4.00). As an AI/ML Engineer and Researcher, I am passionate about advancing the field of AI, particularly in LLM evaluation, and driven to create technology that understands and enhances human experiences.
During my studies at UC Berkeley, I had the privilege of working as a Research Assistant at the Sky Computing Lab, advised by Prof. Joey Gonzalez and Prof. Ion Stoica. In this role, I engineered a scalable data pipeline for Openfunctions-v3, led data cleaning efforts for the BFCL-v3 leaderboard (which received recognition from organizations like Meta, Salesforce, and Alibaba), and contributed to enhancing LLM evaluation methodologies using LLM-as-a-Judge for Arena-Hard-v2.
I also contributed to the Chatbot Arena Project at LMSYS.org, focusing on crowdsourced AI evaluation, further deepening my expertise in practical LLM assessment.
My primary interests lie in the fundamental challenges of training large-scale models, improving the capabilities and reliability of AI systems, and exploring the frontiers of LLM evaluation. I am dedicated to developing technology that not only performs effectively but also aligns with human values and experiences.
- AI/ML & Deep Learning: PyTorch, TensorFlow, Hugging Face, LLMs, Transformers, Fine-tuning, RAG, NLP, vLLM, Unsloth
- Programming Languages: Python, C++, Java, Rust, JavaScript, SQL, Bash, C#
- Data Science & Analytics: Scikit-learn, XGBoost, LightGBM, Pandas, NumPy, Spark, MapReduce
- Backend & Infrastructure: FastAPI, PostgreSQL, Docker, RabbitMQ, Linux, Git, RPC
- UC Berkeley
- B.A. Computer Science
- B.A. Applied Mathematics
- Graduated: May 2025
- GPA: 3.86/4.00
- Email: yixinhuang1@berkeley.edu
- GitHub: https://github.com/yixin-huang1
- LinkedIn: https://www.linkedin.com/in/yixin-huang-91b7781aa/
- Location: Berkeley, CA
© 2025 Yixin Huang