Harbin University of Technology, School of Management
Executive Master of Business Administration, Business Administration
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I've spent the last 20 years building products and platforms from scratch — most recently as a CPO in the maternal-infant e-commerce space and as a CTO for a SaaS company that ended up serving over 120,000 retail stores. Through all of that, one thing became really clear: none of it works if the data is messy. I've managed teams across product, engineering, and operations, and a big part of that was defining what clean data looks like and making sure people actually followed the process. That experience maps pretty directly to running a labeling pipeline — setting guidelines, managing quality, catching edge cases before they become problems. What I bring that's a bit different is that I don't just know the operational side — I've designed the systems that consume the data too. I know why a certain label matters downstream, and I can spot when a guideline is going to create headaches six months later. I'm 45, I've been through multiple startups, and I still care about getting the details right. I'm not looking for a title — I'm looking for work that matters, and data quality is one of those things that quietly makes everything else possible.
Executive Master of Business Administration, Business Administration
Management Training Program, Management
Product Supervisor (Part-time / Liaison)
Chief Product Officer (CPO)