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Qi Xia

@qixia

Senior Software Engineer at Cambridge Mobile Telematics who cut video-pipeline LTE usage by 32%.

United States
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At Cambridge Mobile Telematics, I led a seven-service migration that enabled H.265 device uploads with H.264 transcoding for browser compatibility, reducing LTE usage by 32% and saving $10K+ per month. I also built reusable Terraform modules and an AI-assisted monitoring workflow that cut cross-environment rollout time from weeks to hours.

I led the trip-processing workstream to reprocess 11M+ client trips and regenerate missing safety events, building tooling for export, transfer, and import. I also modernized map-processing pipelines and automated a multi-day Zenrin release workflow.

At Jet.com, I designed and built a distributed ingestion platform processing 1TB+ of marketing data daily from 25+ partners, and owned promotional-bundle experiments that produced an 80% lift in conversion versus human-created bundles. Earlier, at WorldQuant LLC, I owned a distributed alpha-correlation service and reduced correlation-server restart time by 80%.

Experience

Work history, roles, and key accomplishments

Education

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Carnegie Mellon University logoCU

Carnegie Mellon University

Master of Science, Computational Data Science

2014 - 2015

Pursued a Master of Science in Computational Data Science at Carnegie Mellon University's School of Computer Science from 2014 to 2015.

Beijing University of Posts and Telecommunications logoBT

Beijing University of Posts and Telecommunications

Bachelor of Science, Computer Science and Engineering

2010 - 2014

Earned a Bachelor of Science in Computer Science and Engineering from Beijing University of Posts and Telecommunications from 2010 to 2014.

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