# Jiting Xu

> AI/ML, LLMOps, DataEng | Ex-Airbnb, ex-eBay.

Location: San Francisco, California, United States
Profile: https://flows.cv/jiting

LLM, Llmops,  machine learning, and Deep Learning

## Work Experience
### Senior Staff Software Engineer @ Voltron Data
Jan 2024 – Jan 2024 | San Francisco Bay Area

### Founding Engineer @ Claypot AI
Jan 2023 – Jan 2024 | San Francisco Bay Area
merged into Voltrondata

### Software Engineer - Machine Learning Tech Lead @ Airbnb
Jan 2019 – Jan 2023 | San Francisco Bay Area
Search Infra:
Knowledge Graph and Location understanding 

Growth & Traffic: 
1) Team ML roadmaps and priorities
2) Design ML foundations: Feature engineering, data preprocess, training, offline evaluation framework, production monitoring/feedback.
3) Built user intent understanding, audience segmentation, targeting and content optimization machine learning models.

Homes Central Data Team: 
1) lead company-wide data initiatives, providing support to decentralized data teams throughout the company.
2) Design and implemented visitor-user-device/cookie graph based on the linkage of user-device, user-cookie, and cookie-device. 
3) Offline bots traffic detection.

### Machine Learning Engineer @ eBay
Jan 2017 – Jan 2019 | Austin, Texas Area
Risk Machine Learning Infra and data pipeline using spark/scala, java, kafka, hdfs/hive, and python

1.  Anti-abuse projects
2. Account Take Over (ATO)
3. Payment Risk

### Data Scientist @ eBay
Jan 2015 – Jan 2017 | Austin, Texas Area
Deliver end-to-end statistical analysis, predictive modeling, and machine learning modeling  to business owners,  including communication with business users to understand business problem 2) Define model objective function and model segmentation based on behavior difference and business requirement 3) Data query/generation, pre-processing, feature engineering,  and model development using Hive, Spark,  and Python. 4) Model validation, implementation, and performance and stability monitoring. 

•  Lead eBay global behavior model, which provides a FICO-Like score,  ranks order all eBay seller with respect to negative events( financial loss and customer experience). It has 9 segmentations based on behavior difference and business requirement. The score has many business use case, such as loss based recoup, limit assign, and user ratings.  
•  Developed Queue Priority Optimization models which provides a rank ordered referral/leads for agent to review with respect to loss and customer friction. 
•  Lead UK Financial risk model.
•  Lead internal new feature generation, created 1000+ new internal features, select top 20 variables pushed into production, considering information and variation.  
• UAT test, model implementation validation, model performance and stability monitoring

### Credit Risk Analyst @ Advance America
Jan 2015 – Jan 2015 | Spartanburg, Sc
• Design, develop, implement, execute, and monitor scoring models

• Fraud Detection

• Collection Model

### Jr. Credit Risk Analyst @ Advance America
Jan 2014 – Jan 2015 | Spartanburg
。Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs using SQL, SAS, R, and Python.
。Design, develop, and Validate online loan application scorecard models 
。Fraud Detection

### Java Developer （Intern) @ Voterheads
Jan 2013 – Jan 2013
Build Web crawler download data from certain website
Apache solr to index and search keyworld


## Contact & Social
- LinkedIn: https://linkedin.com/in/jiting-xu
- Website: http://jitingxu.wordpress.com/
- Website: https://github.com/jitingxu

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Source: https://flows.cv/jiting
JSON Resume: https://flows.cv/jiting/resume.json
Last updated: 2026-04-05