# Yinliang Chen

> SWE @ Tensor | MSCS @ Yale

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

Graduated from Yale University in May 2025 with a Master of Science in Computer Science, building on a strong academic foundation from Wuhan University and UC Santa Barbara. Academic path included advanced research at Yale with a focus on 3D Gaussian Splatting and VLAs, and a Bachelor's project emphasizing smart factory systems integrating IoT and AGV communications.  

Currently working at a stealth startup as a Software Engineer, contributing to the development of robot manipulation systems, cloud training infrastructure, and containerized IoT applications. Skilled in software design, Python, and IoT, with a strong drive to innovate at the intersection of technology and automation.

## Work Experience
### Software Engineer @ Tensor Auto
Jan 2026 – Present | San Jose, California, United States
Semantics Infrastructure

### Software Engineer @ Stealth Startup
Jan 2025 – Jan 2026 | San Jose, California, United States
Robot manipulation system; Cloud training infra; Containerized IoT applications

### Research Assistant @ Yale University
Jan 2024 – Jan 2025 | New Haven, Connecticut, United States
3D Gaussian Splatting and VLAs.

### Full Stack Engineer @ Zhejiang Sanou Machine Co., Ltd.
Jan 2024 – Jan 2024 | Taizhou, Zhejiang, China
Developed an end-to-end smart factory system using Flask, React, and YOLO, integrating IoT and AGV communication with real-time WebSocket data exchange for automated, high-performance industrial operations.

### Robotics Research Intern @ Wuhan University
Jan 2022 – Jan 2024 | Wuhan, Hubei, China
Published first-author research in Sensors and WACV 2024 on robot path planning and vision-based UAV autonomy, secured a Chinese patent (CN114485709A) for vehicle navigation, and advanced expertise in robotics, technical writing, and innovation.

### Computer Vision Research Intern @ Wuhan University
Jan 2020 – Jan 2021 | Wuhan, Hubei, China
Researched 3D reconstruction using COLMAP, improving urban model accuracy by 15% through collaborative experiments and analysis of 25+ cutting-edge computer vision studies.


## Education
### Master of Science - MS in Computer Science
Yale University

### Visiting Student in Computer Science
UC Santa Barbara

### Bachelor's degree in Hongyi Honor College, Computer Science
Wuhan University


## Contact & Social
- LinkedIn: https://linkedin.com/in/yinliang-chen-372175294

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Source: https://flows.cv/yinliangchen
JSON Resume: https://flows.cv/yinliangchen/resume.json
Last updated: 2026-04-10