Jiting Xu

Founding Engineer at Claypot AI
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Location
San Francisco, US

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Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Founding Engineer
      • Jun 2023 - Present

      San Francisco Bay Area

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Engineer - Machine Learning Tech Lead
      • May 2019 - May 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… Show more 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. Show less

    • United States
    • Technology, Information and Internet
    • 700 & Above Employee
    • Machine Learning Engineer
      • Feb 2017 - May 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
      • Dec 2015 - Feb 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… Show more 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

    • United States
    • Financial Services
    • 700 & Above Employee
    • Credit Risk Analyst
      • May 2015 - Dec 2015

      Spartanburg, Sc • Design, develop, implement, execute, and monitor scoring models • Fraud Detection • Collection Model

    • Jr. Credit Risk Analyst
      • Sep 2014 - Apr 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

    • United States
    • Information Technology & Services
    • Java Developer (Intern)
      • Jan 2013 - Jun 2013

      Columbia, South Carolina Area Build Web crawler download data from certain website Apache solr to index and search keyworld

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