Hien To is a Software Development Engineer with 12 years of experience building large-scale internet and crowdsourcing systems, currently contributing to Amazon's Ground Truth and Augmented AI efforts. He holds a Ph.D. in Computer Science from USC and has translated academic research on privacy-preserving spatial crowdsourcing and task pricing into practical applications used by government and industry partners. At Amazon he works on data labeling and human-in-the-loop ML services that power SageMaker and Mechanical Turk, bridging research-grade algorithms and production-scale engineering. Earlier roles include database research and patented optimizations at Teradata and backend systems for high-traffic products at VNG, demonstrating a strong foundation in algorithms and distributed systems. Comfortable across research and product engineering, he has a track record of turning novel research into deployed software and tooling. Based in Seattle, he blends deep technical expertise with a pragmatic focus on scalable, privacy-aware data collection and ML infrastructure.
Contributions:44 commits, 15 pushes, 1 branch in 2 years 2 months
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