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.

Experience

2024 — NowNVIDIASoftware Engineer

2024 — Now

Santa Clara, California, United States

Building GPU observability and test automation software for DGX Cloud

2023 — 2024Shoreline.ioSoftware Engineer

2023 — 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

Columbia University

Master's degree

Georgia Institute of Technology

Online Master's degree

Tsinghua University

Experience

Education

Master's degree

Online Master's degree

Bachelor's degree