# Shuo (Shawna) Zhao

> Senior Software Engineer with 8+ years building production observability and AI-driven debugging systems.

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

## Work Experience
### Senior Software Engineer @ Uber
Jan 2023 – Present | San Francisco Bay Area
Host Network, Network Infrastructure
- Founded Eve, an LLM-powered AIOps platform for Uber’s core infrastructure, reducing incident diagnosis time from ~60 to ~7 minutes by automating triage and root cause analysis across distributed systems

- Designed a hierarchical multi-agent system (LangGraph) with controlled tool access and dual-mode execution, combining runbook automation for high-frequency alerts (~40% of incidents) with free-form reasoning across the  infrastructure stack, across host, data-center network, and internet edge 

- Built a dynamic telemetry query and hypothesis engine that generates and evaluates hypotheses over time-series data using correlation models and statistical analysis to identify causal relationships across services and infrastructure layers

- Founded NetOS, Uber’s infrastructure observability and operations platform spanning multi-cloud and on-prem environments; led development from scratch using TypeScript, React, and GraphQL, driving adoption across engineering orgs and standardizing telemetry and self-service debugging

### Senior Software Engineer @ Robinhood
Jan 2022 – Jan 2022
API platform
- Led a large-scale framework upgrade of the Python API gateway (Sanic), upgrading core dependencies with zero production incidents

- Deployed a dedicated platform instance for a critical product launch and authored a reusable playbook to standardize future deployments

- Enhanced system observability by building monitoring and alerting (Prometheus) for production reliability

### Senior Software Engineer @ Intuit
Jan 2018 – Jan 2022 | Mountain View, California, United States
- Led performance optimization of the Monthly-End Review, achieving 40% reduction in P99 time-to-interactive by eliminating data-fetch bottlenecks and optimizing React rendering

-  Diagnosed and resolved bottlenecks in a Spring-based microservice (Kafka/JMS ingestion), improving P99 latency by 90% and enhancing monitoring and alerting

-  Built the Smart Page Break for financial reports (Java), achieving 88% adoption across 1M+ monthly uses

### Software Engineer Intern @ PwC
Jan 2017 – Jan 2017 | Dallas/Fort Worth Area
Full stack web development using C# and Javascript

### Full Stack Engineer Intern @ SocialGear
Jan 2016 – Jan 2016 | Houston, Texas Area
- Implemented new front end pages using Angular.js
- Designed MySQL database for the storage of ticket and customer information


## Education
### Master’s Degree in Computer Science
Rice University
Jan 2016 – Jan 2017

### Master's Degree in Civil Engineering
Rice University
Jan 2014 – Jan 2016


## Contact & Social
- LinkedIn: https://linkedin.com/in/shuo-shawna-zhao

---
Source: https://flows.cv/shuoshawnazhao
JSON Resume: https://flows.cv/shuoshawnazhao/resume.json
Last updated: 2026-03-22