Quinn Shen
Staff Software Engineer at DoorDash
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolQuinn Shen is a Staff Software Engineer with 13 years of experience building scalable ML and perception systems at the intersection of hardware and software, currently developing autonomous delivery robots in Tokyo. He has driven high-impact work from scaling LinkedIn’s feed relevance and experimentation infrastructure to leading perception efforts for self-driving stacks at Uber and Aurora, with a focus on construction-zone and long-range image-centric models. Quinn combines systems-level backend architecture with hands-on computer vision and human-in-the-loop data tooling, enabling production-grade pipelines and ground-truth workflows. A UC Berkeley alum with a masters focus in computational perception and robotics, he brings a rare blend of academic rigor and product-minded execution across both cloud-scale ML and embedded autonomy. Notably, he has repeatedly translated cutting-edge CV research into deployed vehicle behavior and delivery robotics.
13 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Electrical Engineering & Computer Science, Bachelor of Science (BS), Electrical Engineering & Computer Science at UC Berkeley College of EngineeringMaster's degree, Computer Science (Computational Perception and Robotics), Master's degree, Computer Science (Computational Perception and Robotics) at Georgia Institute of Technology
Chinese, shanghainese chinese, English
Github Skills (13)
depth2
abaqus2
polymer1
taiko1
typescript1
rails1
scalability1
nextjs1
docker1
tailwindcss1
cal1
react1
ruby1
Programming languages (2)
Github contributions (5)
quinnzshen/quinnzshen.github.io
Jan 2014 - Feb 2018
Contributions:12 commits, 32 pushes in 4 years 1 month
quinnzshen/DDSR2020
Nov 2020 - Apr 2022
Dense Depth Summer Research 2020 repository.
Contributions:2 PRs in 1 year 4 months
depthabaqussummerscalabilitydense
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