# Chao Zhang

> AI Builder @ Instacart • Pickleballer @ Life

Location: Sunnyvale, California, United States
Profile: https://flows.cv/chaozhang

A passionate mobile developer.  The expert of testing in production.

## Work Experience
### Brand Ambassador @ PB Vision
Jan 2024 – Present | United States
Power user. Investor.

### Brand Advocate @ Selkirk Sport - We Are Pickleball
Jan 2024 – Present | California, United States
Advocating through on-court marketing for the #1 pickleball brand.

### Staff Software Engineer @ Instacart
Jan 2024 – Present | California, United States
Increase engineering efficiency for Growth Team by AI.

### Staff Mobile Engineer @ Instacart
Jan 2021 – Jan 2024 | San Francisco Bay Area
Technical lead for Growth System, taking care of in-app incentives and marketing and leading projects full-stack

### Shopper @ Instacart
Jan 2021 – Jan 2022 | San Francisco Bay Area
Conducted gig work as a full service shopper. Shopped at Costco and Lowe's over 200 times.

### Pickleball Instructor @ The Bay Club Company
Jan 2024 – Jan 2024 | Santa Clara, California, United States

### Staff Software Engineer @ LinkedIn
Jan 2020 – Jan 2021
Led Kotlin adoption and Kotlin coroutine adoption.
Member of Android Architecture Committee.
Maintained Android build tools and integration of various static analysis tools.

### Senior Software Engineer @ LinkedIn
Jan 2018 – Jan 2020 | Mountain View, California
Android Infrastructure Team. Working on
- Next-gen LinkedIn Android architecture using Jetpack Architecture components
- Performance Monitoring and optimization
- Scaling up dependency injection

Part of Horizontal Initiative Committee driving company-wide projects.

### Senior Software Engineer @ LinkedIn
Jan 2017 – Jan 2018 | San Francisco Bay Area
Feed API team. Worked on the mid-tier API server for both mobile and web clients. 
Drove multiple initiatives on API server
- FAR (Backend data model migration)
- Render model (Frontend data model migration)
- Group (Building the new LinkedIn group experience)
- Image share (Migrating the image content to the new media stack)
- Multiverse (Splitting the mid-tier into granular modules)
Server optimization and monitoring
- Batch calls to reduce the QPS to our backends
- Remove unnecessary backend calls
- Monitoring to improve the resiliency of main feed

### Software Engineer @ LinkedIn
Jan 2016 – Jan 2017 | San Francisco Bay Area
Feed Android Team
- As an Android Developer on Feed, I built Spindle (Like & comment on comment), Helium (Relevant comments), Disable comments, Editing a comment, Banksy (Image in comment), Remove mentions in a comment and Sponsored Lead Generation.
- Shipped passion projects including Multi-photo update, Compressed Feed Updates and Flexible Height Image Post on feed.
- Improved code quality by advocating nullability annotations, check styles and lint warnings across Android code bases at LinkedIn.
- Delivered Hiding root object, Flexible Height Image and Viral SU Tracking as a full stack engineer on different platforms.

### Master of Test in Production @ GSOBA
Jan 2016 – Jan 2021

### Teaching Assistant @ Carnegie Mellon University
Jan 2015 – Jan 2015 | Greater Pittsburgh Area
- 15319/15619 Cloud Computing
- Developed 4 weekly projects with TA team members. My contributions were designing and implementation projects around AWS Auto Scaling, Apache Hadoop, Apache Spark and d3.js.
- Developed Twitter Analytics Web Service (the major project in 15619), including designing and implementing queries, building the reference server and holding office hours.
- Gave recitations on Auto Scaling, Apache Hadoop MapReduce and Apache Spark.

### Software Engineering Intern @ LinkedIn
Jan 2015 – Jan 2015 | San Francisco Bay Area
Built news feed on Android for LinkedIn Flagship App

https://lnkd.in/dhydvwt

### Technology Analyst @ Morgan Stanley
Jan 2013 – Jan 2013
Constructed a SOAP-based service resolving dependency between market data for MarketBus Application used by Fixed Income team.
Improved the integration test framework using JUnit and H2 Database for MarketBus to reproduce and fix production bugs.
Built Dependency Graph for MarketBus C# Excel Plugin
Refactored copytool for synchronizing data between Production and QA enviroment for MarketBus.


## Education
### Master of Computational Data Science in Very Large Information System, System Track
Carnegie Mellon University

### Bachelor of Science (B.Sc.) in Computer Science
Fudan University

### Suzhou High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/chao2zhang

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Source: https://flows.cv/chaozhang
JSON Resume: https://flows.cv/chaozhang/resume.json
Last updated: 2026-04-01