Jeffrey Tang is a founder and data-driven engineering leader with 11 years of experience building ML-driven products and small, effective teams in the Bay Area. He co-founded AceTrader to bring Wall Street–quality data and machine learning to retail investors and previously led Para as CTO, unifying gig-platform trip data to increase driver earnings. At Twitter he shipped production ad-ranking and pacing systems, and later led a investigations team that used network analysis and unsupervised methods at scale to surface coordinated political manipulation — work that contributed to Congressional-level briefings. Trained in bioinformatics at Imperial College London, he combines rigorous analytical thinking with a customer-first product sensibility and a preference for bootstrapped, profitable startups.
11 years of coding experience
5 years of employment as a software developer
Master's degree Bioinformatics, Master's degree Bioinformatics at Imperial College London
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