Speaker: Shuyi Chen

Senior Software Engineer II @Uber

Shuyi Chen is a senior software engineer at Uber working on building scalable real-time data platform and solutions. He is the tech lead of Uber’s stream processing platform team. Before, he built Uber’s real-time complex event processing platform for marketplace, which powers 100+ production real-time use cases. Shuyi has years of experience in storage infrastructure, data infrastructure, and Android and iOS development at both Google and Uber.

Find Shuyi Chen at

2019 Tracks

  • 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

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.

  • Handling Sequential Data Like an Expert / ML Applied to Operations

    Discussing the complexities of time (half track) and Machine Learning in the data center (half track). Exploring topics from hyper loglog to predictive auto-scaling in each of two half-day tracks.

    Half-day tracks