# Jingxiang Zhang

> Software Engineer @ NVIDIA | THU20  CU22  GT25

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

Software engineer focused on AI infrastructure. I build large-scale observability and recovery platforms for GPU clouds, combining systems engineering with AI-powered automation to improve reliability, scalability, and operational efficiency.

## Work Experience
### Software Engineer @ NVIDIA
Jan 2024 – Present | Santa Clara, California, United States
Building GPU observability and test automation software for DGX Cloud

### Software Engineer @ Shoreline.io
Jan 2023 – Jan 2024 | Redwood City, California, United States
• Developed a full-stack incident reporting platform, integrating ticket ingestion, runbook generation, and AI analysis with Flask, React, and TypeScript to improve on-call automation and usability.
• Designed and implemented a Retrieval-Augmented Generation (RAG) system with semantic search and evaluation framework, increasing Linux command generation accuracy by over 50%.


## Education
### Master's degree in Data Science
Columbia University

### Online Master's degree in Computer Science
Georgia Institute of Technology

### Bachelor's degree in Environmental Engineering
Tsinghua University


## Contact & Social
- LinkedIn: https://linkedin.com/in/jingxiangzhang
- GitHub: https://github.com/jingxiang-z

---
Source: https://flows.cv/jingxiang
JSON Resume: https://flows.cv/jingxiang/resume.json
Last updated: 2026-03-29