Summary
Jianzhi Wang is a product-focused technologist with eight years of experience bridging data engineering and product management, currently shaping product at Xiaomi in Beijing. Trained in computer science (MS, NYU) with a strong IST foundation (Penn State), he has hands-on expertise in big data stacks (Java, Spark, Hive) and building ETL pipelines on Hadoop/Spark platforms. His background spans industrial data processing, experimentation-driven analytics, and client-facing product requirement translation from internships at Inspur and Zhejiang University research institute. Jianzhi’s recent research into blockchain and data mining complements his practical experience, enabling him to turn complex data flows into actionable product features and dashboards. He combines analytical rigor—evident from hypothesis-driven experiments and data visualization work—with a knack for converting customer interviews into technical specifications, making him effective at both strategy and execution.
8 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at New York University
Bachelor's degree, Information Technology, Major 3.9/4.0, Overall 3.7/4.0, Bachelor's degree, Information Technology, Major 3.9/4.0, Overall 3.7/4.0 at Penn State University
Chinese, English, Japanese