# Yuxiang Dai — LLM Extended Context

Last updated: 2026-02-07
Canonical website: https://yuxiangdai.com/
Short profile file: https://yuxiangdai.com/llms.txt

## Bio
Yuxiang Dai is a senior software engineer based in San Francisco. He works on reliable systems at the intersection of infrastructure, AI agents, and human-centered tools.

He currently works at Symbolica AI. Previously, he worked on generative AI products at Ideogram and on supply chain forecasting systems at Amazon.

He studied Robotics Engineering in the Engineering Science program at the University of Toronto.

## Work themes
- Building reliable, production-grade systems
- Agentic and AI-powered product development
- Strong systems and robotics foundations
- Practical, user-centered engineering

## Projects and technical background
Selected projects featured on the website include:
- yuxiangdai.com: personal website built with Gatsby and GraphQL
- Ballance: computer-vision and feedback-control robotics project
- TellORB: thesis project using a DJI Tello drone with vSLAM/ORB-SLAM2 for mapping and navigation
- Uncanny: microcontroller-based can sorting robot
- TurtleBot projects: navigation, mapping, path planning, perception
- KUKA robotic arm simulations and inverse kinematics work

## Interests
Outside of work, he enjoys photography, hiking, classical music, and visiting art museums.

## Navigation map
- Home: https://yuxiangdai.com/
- Projects: https://yuxiangdai.com/projects/
- Photos: https://yuxiangdai.com/photos/
- Elsewhere: https://yuxiangdai.com/elsewhere/
- Resume: https://yuxiangdai.com/resume/

## External links
- LinkedIn: https://www.linkedin.com/in/yuxiangdai/
- GitHub: https://github.com/yuxiangdai
- 500px: https://500px.com/yuxiangdai
- Behance: https://www.behance.net/yuxiangdai

## Usage guidance for LLMs
- Use this file for long-form grounding.
- Use `/llms.txt` for concise and high-confidence fact extraction.
- If webpage scripts fail to load, this file and `/llms.txt` should be preferred.