Sep 23–26, 2019
Jessica Mong

Jessica Mong
Manager, Machine Learning Engineering, SurveyMonkey

Jessica Egoyibo Mong is an engineering manager on the Machine Learning Engineering (MLE) team at SurveyMonkey. She’s currently leading efforts to re-architect online serving ML system. Prior to the MLE team, she worked as a full-stack engineer on the Billing & Payments team, where she built and maintained software to enable SurveyMonkey’s global financial growth and operation. In past years, Jessica oversaw the technical talks program, jointly managed the engineering internship program, and co-led the Women in Engineering group. Jessica received a B.S in Computer Engineering from Claflin University in South Carolina. She is a 2014 White House Initiative on HBCUs All-Star, a Hackbright (Summer 2013) and CODE2040 (Summer 2014) alum. She has served on the leadership team of the Silicon Valley local chapter of the Anita Borg Institute and is a member of /dev/color. Jessica is a singer and upcoming drummer, and sings and drums at her church in Livermore, CA. In her spare time, she enjoys eating, CrossFit, reading, learning new technologies, and sleeping!

Sessions

11:20am12:00pm Thursday, September 26, 2019
Location: 1A 23
Jing Huang (SurveyMonkey), Jessica Mong (SurveyMonkey)
You are a SaaS company that operates on a cloud infra prior to the ML era. How do you successfully extend your existing infrastructure to leverage the power of ML? In this case study, you will learn critical lessons from SurveyMonkey’s journey of expanding its ML capabilities with its rich data repo and hybrid cloud infrastructure. Read more.

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