# Jeff Xu

> Principal Software Development Engineer at Workday

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

I’m a hands-on technical lead focused on building and operating large-scale data, metadata, and AI-powered platforms that support analytics, observability, and real-world operations.

My work sits at the intersection of distributed systems, data governance, and applied AI, with an emphasis on reliability, security, and clarity at scale. I tend to work end-to-end—shaping architecture, writing production code, and staying involved through launch and long-term operation.

Recently, I’ve been applying AI in pragmatic ways to help engineers reason about complex operational signals, reduce toil, and make better decisions in production environments.

I enjoy collaborating with strong engineers and working on systems that have meaningful impact beyond a single team.

Happy to connect and learn from others working in this space.

## Work Experience
### Principal Software Development Engineer @ Workday
Jan 2019 – Present | San Francisco Bay Area
Hands-on technical lead building and operating large-scale data, metadata, and AI-powered platforms that support analytics, observability, and operational intelligence across distributed systems. I focus on taking complex systems from early concept through production and long-term operation, working at the intersection of distributed systems, data governance, and applied AI, with a strong emphasis on reliability, security, and real-world impact.

Key Areas of Work

• Data & Analytics Platforms
Designing and operating large-scale, self-service analytics platforms for federated SQL analytics and Spark ETL, enabling engineers and analysts to explore operational data securely and efficiently.

• Metadata, Governance & Data Discovery
Leading the design and adoption of enterprise metadata and governance capabilities (e.g., metastore- and catalog-driven systems) to improve data discovery, ownership, lineage, and access control across the data ecosystem.

• Applied AI for Operations
Applying AI techniques (including LLM-based and agent-style approaches) to automate signal analysis and incident triage, with a focus on explainability, reliability, and seamless integration into existing operational workflows.

### Principal Software Engineer @ Citrix
Jan 2017 – Jan 2019 | San Francisco Bay Area
As one of the key contributors to create the Big Data solution that powers Citrix Analytics Service, by utilizing Apache Spark, Kafka, Scala, python, SQL, cloud storage. The pipeline runs both batch and streaming paths to perform ML based user behavior analytics at real time.

### Principal Software Engineer @ Citrix
Jan 2011 – Jan 2017 | San Francisco Bay Area
Architectured, developed and operated a cloud-based Big Data pipeline that analyzes streaming of data to generate key product insights, by utilizing AWS S3, EC2, SQS, python, Django, RabbitMQ, Postgresql.

### Senior Software Engineer working on full TCP/IP stack @ Citrix
Jan 2007 – Jan 2011 | San Francisco Bay Area
Resolved numerous high profile issues that blocks customer from successfully utilizing Citrix NetScaler. Also invented popular tools that greatly improved organization's efficiency and consistency.

### SW Engineer @ Agilent Technologies
Jan 2000 – Jan 2007

### Software Engineer @ Shanghai Huatek Software Engineering Company
Jan 1997 – Jan 2000


## Education
### Bachelor's degree
Tsinghua University

### Master in Automatic Control
University of Science and Technology of China

### Bachelor in Automatic Control
Tsinghua University

### Bachelor's degree
Tsinghua University


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

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