Summary
Glenn Wysen is a Product Engineer with eight years of experience building reliable, data-driven systems across cloud, insurance, and research environments. He helped improve AWS KMS reliability and performance—decoupling core services and automating log analysis to dramatically reduce incident time—and later translated those backend and observability skills into performance tech roles at the New York Mets. At Next Insurance he combined engineering and empathy to remove biased screening logic, automate document workflows saving dozens of weekly staff hours, and field hundreds of regulatory data requests. He brings a rare mix of systems-level security experience, production on-call rigor, and practical data tooling (Cron, Selenium, Pandas, SQL, Tableau) honed from astrophysics research through industry. Based in New York, Glenn is pragmatic about shipping measurable impact and quietly learns from peers (notably described as “Trevor Aquino’s understudy” on GitHub), signaling a collaborative, mentorship-oriented approach.
8 years of coding experience
3 years of employment as a software developer
Computer Science/Astrophysics, Computer Science/Astrophysics at University of California, Berkeley