Joshua Tran
Robot Learning At WEIRD Lab at University of Washington
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolJoshua Tran is a robot learning researcher and software engineer with nine years of hands-on experience building perception, state estimation, and ML systems for real-world robotics and products. Currently researching reinforcement and imitation learning at UW's WEIRD Lab, he previously led embedded avionics work that earned a Best Student Paper at ICRA '25 for a tiny, power-efficient sensing suite. His background spans industry internships at GitHub and Amazon Robotics—where he shipped user-facing features and automated image-quality regression testing—and research roles implementing Kalman and particle filters, 3D transforms, and controllers in C++ and Python. Comfortable from low-level avionics to ML model deployment on AWS, he also brings teaching experience and a track record of turning prototypes into measurable adoption and publication-quality results.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of WashingtonHigh School Diploma General Studies, High School Diploma General Studies at Lakeside School
Github Skills (12)
crossword6
mobile-application6
azerothcore6
scripting5
bash4
shell4
python3
couchdb3
flutter3
android2
pouchdb1
mobile1
Programming languages (5)
Github contributions (5)
GianlucaParilli/GrizzlyParking
Feb 2018 - Apr 2018
Contributions:121 commits, 54 PRs, 109 pushes in 2 months
jtran6/AngularFrontEnd
Jul 2018 - Dec 2018
CLI Setup for PrimeNG
Contributions:21 pushes in 4 months
primengcli
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