# Xiao Chen

> Software Engineer @Airbnb

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/xiaochen2

Leader with multi-year experience in various technical challenging areas, including large-scale distributed system, databases, data warehouse, machine learning & deep learning platform and online advertising system.

## Work Experience
### Staff Software Engineer @ Airbnb
Jan 2019 – Present | San Francisco Bay Area
2024 - Present
Software Engineer in Booking Orchestration team.
 - Own the checkout flow of all Airbnb products (Stay, Experience, Insurance, etc), and ensuring fast and smooth checkout experience.
 - Drive new product initiatives (Airbnb Services, Guest Travel Insurance) that to expand Airbnb product offering and increase revenue.
 - Build reliable and scalable orchestrator service that enables complex critical product flow, ensures data consistency across domains (payment, product, etc), and provides rich monotoring support.

2022 – 2023
Software Engineering Manager in Unified Data Service team. We enable developers to focus on application logic by building services/systems/frameworks that hides data access and management complexity.
 - Data Access Gateway: Gateway for accessing TiDB and Aurora.
 - Data Exportation: Export DB data to the warehouse in various formats and frequency, and export mutation events to Kafka for near real time processing.
 - AirSchema: End-to-end schema management solution covers object relation model (ORM), schema definition, life-cycle management, and runtime schema discovery.

Sept 2019 – Feb 2022
Software Engineer in China Data Infra team.
 - Building the infrastrucutre to localize Chinese user data, and enabling localized China Airbnb product.

### Software Engineer @ Twitter
Jan 2014 – Jan 2019 | San Francisco Bay Area
2017 - 2019:
Rearchitect ads ranking into micro-service architecture for product iteration in the next 10 years.
Modernize ads machine learning platform onto Tensorflow-based deep learning ecosystem for continuous model training at Twitter-level data volume.
Built a feature engineering framework for pre-computing and serving computationally heavy features.

2014-2016:
Build Twitter's real-time, multi-tenant, multi-region, distributed KV storage from scratch.
https://blog.twitter.com/2014/manhattan-our-real-time-multi-tenant-distributed-database-for-twitter-scale
https://blog.twitter.com/engineering/en_us/topics/infrastructure/2018/native-secondary-indexing-in-manhattan.html


## Education
### Master's degree in Electrical and Computer Engineering
Carnegie Mellon University


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

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Source: https://flows.cv/xiaochen2
JSON Resume: https://flows.cv/xiaochen2/resume.json
Last updated: 2026-04-12