Eric Wang
Job at Company
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolEric Wang is an AI-focused software engineer and leader with 11 years of experience building production ML systems and inference infrastructure from startup to acquisition. Based in Palo Alto, he has held technical leadership roles including CTO at Callin and inference lead at Inception Labs, and now drives engineering at his current company. He blends deep academic training from Stanford in CS and math with hands-on model work—contributing to popular open-source projects like alpaca-lora, where he fine-tuned LLaMA for instruction following and added user-friendly Gradio tooling. Eric’s strengths lie at the intersection of model optimization, tokenization and generation pipelines, and pragmatic deployment for consumer hardware. Colleagues know him for shipping robust checkpoints and tooling that make advanced models accessible outside of heavy GPU farms.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Artificial Intelligence, Master of Science - MS, Computer Science, Artificial Intelligence at Stanford University
Chinese, Spanish, English
Github Skills (12)
lora10
transformers10
llama10
pytorch10
machine-learning10
gradio10
python10
natural-language-processing10
fine-tuning10
llm10
ai9
gpt9
Programming languages (6)
Github contributions (5)
tloen/alpaca-lora
Mar 2023 - May 2023
Instruct-tune LLaMA on consumer hardware
Role in this project:
ML Engineer
ML EngineerContributions:29 reviews, 65 PRs, 136 pushes in 2 months
Contributions summary:Eric primarily worked on fine-tuning a LLaMA model for instruction following, evidenced by changes to the `finetune.py` and `generate.py` files. The user made modifications to the tokenization process, hyperparameters, and the generation configuration. Additionally, the user updated the `generate.py` script to include a Gradio interface for interacting with the fine-tuned model, and created scripts for checkpoint management.
ermongroup/neuralsort
Mar 2019 - Nov 2019
Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
Contributions:6 commits, 3 pushes in 8 months
pytorchiclrsorting-networksstochastic-optimizationdeep-learning
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