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EVENT DETAILS |
Explore the possibilities in democratizing data to solve interdisciplinary problems & increase diversity across the ecosystem.
About this Event
OUR SPEAKERS
Swetha Revanur
Swetha cares about democratizing data & machine learning to solve interdisciplinary problems efficiently & ethically. While a student at Stanford University, she cofounded & taught the first class in AI for social good, & pursued technical projects in disaster relief, human trafficking, & education. With the same principles in mind, she joined Brex in January to enable diverse organizations to make informed decisions with their data. In the months since, Brex has processed nearly ten million transactions from thousands of card users across an assortment of startups & small businesses. As a data engineer, Swetha has harnessed this new volume to build platforms for OCR-based bank statement processing, automated transaction categorization, & most recently, spend anomaly detection. Her work has impacted all active customers, dramatically reducing the time & number of manual touchpoints necessary for them to access capital. Swetha looks forward to driving more bold projects that allow growing businesses to meaningfully improve people's lives.
Julia Wu
Julia is a senior software engineer at Brex on the Financial Infrastructure team. Her current focus is on protecting Brex & its customers against card fraud, though she previously worked on APIs. Prior to Brex, Julia was a backend engineer at Apple Siri & Microsoft. She has received funding & scholarships from Pioneer (a remote accelerator), Google, Facebook, & Square. She graduated from Brown University as a first-generation college student with a Bachelor of Science in Computer Science-Economics. Julia fell in love with hackathons in college & hasn't stopped tinkering since. At Brown, Julia also founded Lean In on campus & was president of the Women in Computer Science & Women in Business groups. Julia grew up between Brazil & China before moving to the US for college.
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