# Shiyi Liu

> Applied AI/ML Engineer at Monks

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/shiyiliu

Machine Learning Engineer and Researcher specializing in efficient AI systems and LLM-based agents. Currently pursuing a PhD in Computer Engineering at the University of Virginia, focusing on cost-effective AI agent frameworks and hybrid inference systems.

With a unique background spanning Computer Engineering and Transportation Engineering, I bring a distinctive perspective to AI development, particularly in optimizing LLM deployments and building intelligent systems. My research has achieved significant breakthroughs in cost reduction (up to 45%) for AI systems while maintaining high accuracy, and I've developed innovative solutions for multilingual support across various scenarios.

My work focuses on:

• Designing efficient AI agent frameworks and hybrid inference systems
• Optimizing model allocation and reducing operational costs in LLM deployments
• Developing machine learning solutions for smart infrastructure and cybersecurity
• Developing and evaluating smart ITS for connected and autonomous vehicle

Currently contributing to cutting-edge research in cost-efficient frameworks for LLM-based agent deployment in cloud-edge environments. Always eager to connect with fellow researchers and professionals in AI, ML, cloud computing, and transportation engineering.

## Work Experience
### Applied AI/ML Engineer @ Monks
Jan 2025 – Present


## Education
### Master of Engineering - MEng in Computer Engineering
University of Virginia

### Doctor of Philosophy - PhD
University of Virginia

### Master's degree in Transportation/Mobility Management
University of Maryland

### Bachelor's degree in Transportation and Highway Engineering
Tongji University


## Contact & Social
- LinkedIn: https://linkedin.com/in/shiyi-liu-212323186

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Source: https://flows.cv/shiyiliu
JSON Resume: https://flows.cv/shiyiliu/resume.json
Last updated: 2026-04-17