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.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Southern California
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Hanoi University of Science and Technology
Diploma, Informatics, Diploma, Informatics at Hanoi University of Science
Contributions:44 commits, 15 pushes, 1 branch in 2 years 2 months
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