I'm a software engineer based in San Francisco. I've been lucky to have
experienced a variety of industries, companies, and cities. I love
connecting ideas to ideas, people to ideas, and people to people. I am
grateful for the the generous support of family, friends, and mentors,
without which I would not be where I am today.
My email sounds like
"Matt Gambogi dot com" if you have any
questions, or would like to chat.
San Francisco, CA
I'm building data software and services for maps.
I worked on tooling that helped improve the Intune device enrollment
Johnson and Johnson
I helped improve the quality of pharmaceutical production processes
for drugs like Remicade and Tylenol. We used Haskell to build a
graph of process flow to enable new kinds of analysis at scale.
Data Science Engineer・Co-op
San Diego, CA
Cut machine learning development cycle from two weeks to thirty
Researched novel approaches for A/B testing (Multi-armed bandit
problems, Thompson Sampling)
Proposed and built a DSL for specifying
machine learning models, later became a standard across Intuit
Security Software Engineer・Intern
Eliminated Cross Site Scripting vulnerabilities from company-wide
Rochester Institute of Technology
Computer Science BS, Languages and Tools
Economics Minor, Theory and Policy
Nunes-Harwitt, Arthur, Matthew Gambogi, and Travis
Whitaker. "Quick-Sort: A Pet Peeve." In proceedings of the 49th ACM
Technical Symposium on Computer Science Education, pp. 547-549. ACM,