Lise Ho is a software engineer with 11 years of experience building production systems for finance and observability, currently contributing at Datadog after a five-year engineering stint at Bloomberg. She has a strong foundation in computer science from Stony Brook and further study at HKUST, and her early internships ranged from venture-backed startups to enterprise infrastructure, giving her breadth across product and platform engineering. Comfortable in fast-paced, data-intensive environments, she focuses on reliable, scalable software that serves critical monitoring and trading use cases. Lise’s path—from undergraduate research in big data analytics to hands-on roles at Morgan Stanley and TodayTix—shows a pattern of tackling complex systems early and often. Based in New York, she blends rigorous academic training with practical experience shipping large-scale services. Colleagues see her as a pragmatic problem-solver who delivers durable engineering outcomes across the stack.
11 years of coding experience
6 years of employment as a software developer
Hong Kong University of Science and Technology (HKUST)
Stuyvesant High School
Computer Science, Computer Science at Stony Brook University
Contributions:2 PRs, 158 pushes, 4 branches in 1 month
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