Speaker: Jibin Liu

Software Engineer ex-eBay now @Amazon

Jibin is a former Software Engineer at eBay, where he was working on using Reinforcement Learning to improve the efficiency of web crawling. Prior to eBay, he worked at Esri, a pioneer in the geospatial information system, mapping, and spatial data analytics technology. Before that, he was an Environmental Consultant at AKRF, Inc. in NYC.
 
Transitioning from Environmental Engineering to Machine Learning, Jibin is passionate about applying Machine Learning and Deep Learning on automation, within both the digital and physical worlds. He will join Amazon in April 2019.

Find Jibin Liu at

2019 Tracks

  • Predictive Data Pipelines & Architectures

    Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix

  • Sequential Data: Natural Language, Time Series, and Sound

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud