Summary
Liang-ting Jiang is a versatile engineer with 12 years building backend, ML/AI, payments, blockchain, and robotics systems across companies from startups to hyperscale platforms. He has led and shipped production ML infrastructure and personalization at Amazon and Prime Video, drove Coinbase’s Travel Rule TRUST initiative for crypto-native compliance, and now contributes to OpenAI as a Member of Technical Staff. His background spans data engineering, payment reconciliation and regulatory risk at Airbnb, realtime attribution at Groupon, and early robotics research at Intel Labs, giving him a rare cross-domain perspective. Comfortable toggling between research-informed thinking and pragmatic production delivery, he excels at turning complex compliance and ML problems into deployable systems. Based in Seattle with a PhD background from the University of Washington, he blends academic rigor with hands-on engineering velocity. An understated strength is his track record of building standards and platforms (e.g., TRUST) that enable industry-wide interoperability, not just single products.
12 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at University of Washington
Doctor of Philosophy (PhD) (transferred out), Doctor of Philosophy (PhD) (transferred out) at University of Michigan
National Taiwan University
Japanese