Jing Hao is a software engineer based in San Francisco with nine years of experience building data-driven tools and production software, currently contributing at LinkedIn. With a background that spans econometrics, computer engineering, and biological science, Jing brings a rare mix of quantitative rigor and practical product delivery to engineering problems. Prior roles at Diffbot and research work at Purdue honed skills in data wrangling, analytics-driven decision making, and scalable engineering. Early career procurement and supply-management experience at Theranos sharpened Jing’s cost-conscious, cross-functional execution and tooling mindset—often surfacing in pragmatic automation and BOM/data workflows. Comfortable with both research-grade analysis and production systems, Jing focuses on turning complex data into actionable insights and reliable developer tools.
9 years of coding experience
7 years of employment as a software developer
Fellowship, Computer Software Engineering, Fellowship, Computer Software Engineering at Hackbright Academy
B.S., Biological Science, B.S., Biological Science at China Agricultural University
B.S. and M.S, Econometrics and Quantitative Economics, B.S. and M.S, Econometrics and Quantitative Economics at Purdue University
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