Tianle Liu is an AWS-focused software engineer with 8 years of experience building cloud-native backends and IoT systems, currently developing scalable infrastructure and device pipelines at Ambient Intelligence. He has hands-on expertise with Terraform/OpenTofu, AWS IoT Core, Fleet Provisioning, and custom MQTT clients to reliably onboard and ingest data from Raspberry Pi–based sensors into analytics-ready storage. Past roles span enterprise backend work using Spring and Vue for inventory systems across 14 cities, as well as research and GIS internships where he simulated autonomous driving scenarios and trained terrain-detection models from satellite imagery. Comfortable across infrastructure, embedded connectivity, and data pipelines, Tianle blends practical devops automation with applied research instincts. He holds engineering degrees from Shanghai University and the University of Minnesota, and often bridges prototyping (PoC device installs) to production-ready MVPs.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Arts, Computer Science, Bachelor of Arts, Computer Science at University of Minnesota
Bachelor of Engineering, Telecommunication Engineering, Bachelor of Engineering, Telecommunication Engineering at Shanghai University
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Contributions:4 reviews, 5 PRs, 3 pushes in 2 months
compilerstechnologiesclangsubmittoolchain
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Tianle Liu - AWS Software Engineer at Ambient Intelligence