# Yueqi Liao

> AI/ML Infra | Cloud | SDE @WeRide.ai | CMU Alum | UCSD Alum

Location: San Jose, California, United States
Profile: https://flows.cv/yueqi

- SDE @WeRide.ai | Computer Science | Cloud Enthusiast | CMU & UCSD Alumni

## Work Experience
### Software Engineer @ WeRide
Jan 2024 – Present | San Jose, California, United States
Cloud Infra - Deep Learning Platform

- Distributed LLM Inference (AiBrix)
- Distributed Caching System (RDMA, Fuse, Splice)
- Linux AMD High Performance Computing 
- CUDA / NCCL
- Kubernetes
- Cloud Native / AI Native
- Model Context Protocol, AI Agent

### Backend Software Engineer @ Refactor Games
Jan 2024 – Jan 2024 | Santa Monica, California, United States
Game Development

### Full Stack Software Engineer @ Orbbec 3D
Jan 2023 – Jan 2023 | Michigan, United States
- Architected robust training pipelines for a GPT-based customer service application
- Integrated Langchain Embeddings and Faiss with OpenAI APIs in response generation
- Engineered a Full-Stack application with a containerized Flask backend on AWS Lambda
- Managed end-to-end automation of software delivery process with CI/CD principles using AWS CodePipeline, reducing deployment time by 30%
- Orchestrated containerized microservices using Kubernetes on AWS EKS, optimizing resource allocation and ensuring seamless autoscaling

### Fullstack Software Engineer @ Orka
Jan 2020 – Jan 2021 | Shanghai, China
- Conceptualized and implemented front-end components with React.js
- Successfully amplifying user engagement and augmenting dwell time by 25%
- Boosted data collection and retrieval efficiency by 25% through database schema optimization
- Led development of user authentication and authorization with Google Firebase

### Cloud Software Engineer @ Asiainfo
Jan 2020 – Jan 2020 | Chongqing, China
- Deployed a decision-tree recommender system on AWS Lambda, achieving a stateless design that scaled to handle 10,000+ requests per minuteonducted in-depth analysis of complex data sets to identify trends and patterns
- Applied AWS Elastic Load Balancing to the decision-tree system, enhancing traffic distribution and reducing response times by 25%
- Leveraged AWS S3 and DynamoDB for state management, ensuring 99.9% data consistency and resilience across all instances
- Established automatic replication processes, resulting in a 99.95% uptime and swift failover during peak usage times

### Mathematics Tutor @ University of California San Diego
Jan 2019 – Jan 2020 | Greater San Diego Area
Helped numerous to achieve success in linear algebra and differential equations.

### Software Engineer Intern @ Huawei
Jan 2019 – Jan 2019 | Chongqing, China
- Executed 40+ test cases using Postman for RESTful API validation, improving cloud service reliability by 18%
- Managed bug tracking with JIRA, streamlining communication between QA and Dev teams, and accelerating resolution times by 10%
- Utilized Selenium for automated testing of Huawei's cloud web interface, enhancing UI/UX consistency and reducing manual testing efforts


## Education
### Master's degree in Information Networking
Carnegie Mellon University

### Bachelor of Science - BS in Computer Science
UC San Diego


## Contact & Social
- LinkedIn: https://linkedin.com/in/yueqi-liao

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Source: https://flows.cv/yueqi
JSON Resume: https://flows.cv/yueqi/resume.json
Last updated: 2026-04-11