Geoffrey Litt
Design Engineer at Notion
Washington, District of Columbia, United States
Summary
🤩
Rockstar🎓
Top SchoolGeoffrey Litt is a design-oriented engineer with 14 years of experience blending research, product, and hands-on software and hardware engineering. He holds a PhD from MIT focused on end-user programming and has led research and product teams at Ink & Switch and Panorama Education, where he shipped early AI features and built data infrastructure used at scale. Now at Notion, he applies his background in prototyping and malleable software to design-engineering problems that bridge UI, systems, and researchers’ needs. Geoffrey’s work spans embedded systems—evidenced by Arduino-based breathalyzer projects—and full-stack product development, signaling a rare comfort moving between low-level hardware interaction and high-level user-facing design. He’s known for translating research insights into practical tools that let non-programmers customize software.
14 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Massachusetts Institute of TechnologyBS Electrical Engineering and Computer Science, BS Electrical Engineering and Computer Science at Yale University
Japanese
Stackoverflow
160reputation
18kreached
7answers
2questions
Github Skills (18)
c-language10
sys10
embedded10
cprogramming-language10
arduino10
sensor-fusion9
system-integration9
iot7
html6
ruby-on-rails6
dom6
jquery6
capybara6
ruby6
exceptions6
Programming languages (8)
Github contributions (5)
noidontdig/gitdown
Apr 2013 - Apr 2013
Don't commit when you're drunk
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:48 commits in 2 days
Contributions summary:Geoffrey's primary contribution involves developing and modifying Arduino code for a breathalyzer device. The commits show the addition of initial code, followed by refinements to the BAC measurement calculations, and modifications to the device's light bar display. The user has adjusted calibration parameters and integrated the device with external scripts, demonstrating a focus on hardware interaction and data processing within the Arduino environment. The work centers around interfacing with a DrinkShield board and using its sensors.
hacklangdrunkcommit
BulldogsRacing/Yale-Formula-Hybrid
Jan 2012 - Apr 2013
Contributions:42 commits in 1 year 3 months
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