Tanner Schmidt
Research Scientist at Meta
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolTanner Schmidt is a research scientist based in Seattle with 12 years of experience at the intersection of computer vision, graphics, and systems research, currently working at Meta after a multi-year stint at Oculus VR. He holds a Ph.D. in Computer Science from the University of Washington and combines deep academic training with hands-on engineering from internships at Microsoft and long-form research at industry labs. Tanner contributes to practical open-source tooling—having fixed imaging and driver issues in the popular Pangolin library—demonstrating attention to low-level video and sensor integration. Known for shipping robust prototype systems, he bridges algorithmic research and production-ready implementations, often focusing on real-time imaging pipelines and data logging. Colleagues value his ability to translate complex sensor problems into reliable, maintainable code that accelerates downstream product development.
12 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of WashingtonBachelor of Science in Engineering (BSE) Electrical and Computer Engineering Computer Science, Bachelor of Science in Engineering (BSE) Electrical and Computer Engineering Computer Science at Duke University
Github Skills (6)
c-language10
cprogramming-language10
opengl10
image-processing9
computer-graphics9
cuda8
Programming languages (3)
Github contributions (5)
stevenlovegrove/Pangolin
Apr 2016 - Mar 2020
Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.
Role in this project:
Backend Developer
Backend DeveloperContributions:13 commits, 12 PRs, 1 issue in 3 years 11 months
Contributions summary:Tanner primarily contributed to bug fixes and feature enhancements within the Pangolin library. Their work included resolving an issue with the OpenNI2 driver by addressing depth registration, as well as fixing an image allocation bug. Furthermore, the user added support for the BGRA32 VideoPixelFormat and implemented functionalities related to cropping and fast crop modes within the OpenNI2 driver. The user also wrote code to enable data logging to a CSV file.
interactionrapid-developmentc-plus-plusraycastingopengl
tschmidt23/NDTensor
Aug 2017 - Oct 2018
Contributions:109 commits, 38 pushes, 1 branch in 1 year 2 months
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