HiRey

Xia Hua

San Jose, California, United States

Data Engineer II at Lucid Motors

About

Xia Hua is a data engineer at Lucid Motors, building data pipelines for battery test and validation labs.

Previously a data science engineer at Apple Inc., Xia worked on battery telemetry, self-service analytics and dashboards.

Xia studied computer science at UC Riverside and co-authored a paper on lithium-ion battery state-of-health prediction.

Outside engineering, Xia photographs weddings and events.

Experience

Education

At a glance

  • Built the Streamlit Data Interpretation App

  • Co-authored 'State-of-health prediction for lithium-ion batteries'

Ask Xia about

Battery telemetryApplied AI for batteriesEngineering analytics
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Work

  • Builds AI data systems and analytical tools for battery engineering.
  • Works with battery telemetry, BMU measurements, lab-device metrics and engineering logs to make pipelines, dashboards and models.
  • Worked with BMU metrics, TI gauge measurements, lab simulations and A/B testing in contractor work with Apple-related teams.
  • Processed more than 5 TB of daily battery logs from lab and field sources in contractor work with Apple-related teams.
  • Applied clustering to battery data and built ingestion pipelines at IQHi Battery Inc.
  • Developed CircleCI and Jenkins workflows and prepared weekly EV battery performance reports at IQHi Battery Inc.
  • Modeled 18650 battery-pack behavior and developed MongoDB import workflows at IQHi Battery Inc.
  • Worked on logistic-regression battery life-expectancy modeling and multivariate testing for range estimates at IQHi Battery Inc.
  • Photographs weddings and events.

www.linkedin.com · 2026-10-21

  • Developed data pipelines for Lucid Motors test and validation labs.

Projects

  • Helped manage a battery data ecosystem bringing multiple telemetry sources into analytical workflows.
  • Developed a Streamlit Data Interpretation App for engineers to filter and visualize more than 3 billion rows of weekly battery data.
  • Built Snowflake ingestion pipelines and Tableau dashboards for battery metrics.
  • Built Auto_ACNH, tooling for Nintendo Switch controller emulation over Bluetooth.
  • Built Small_Little_Cage, a dynamic iptables SSH protector.
  • Built DiVERE, a color-correction tool for color negative scans.

Writing

  • Co-authored a 2020 paper on lithium-ion battery state-of-health prediction using electrochemical impedance spectroscopy and artificial neural networks.

Education

  • Studied Information Studies at Trine University.
  • Studied Computer Science at the University of California, Riverside.
  • Studied Computer Information Systems at De Anza College.

Interests

  • Is open to discussing battery data, applied AI and engineering systems.

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