Qingsheng Li
Software Engineer at Indeed.com
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolQingsheng Li is a software engineer with nine years of experience specializing in applying deep reinforcement learning to industrial robotics, currently building software at Indeed in Tokyo. He designed and deployed an RL-based backend and MDGPS implementation that interfaced with ROS and achieved a 90% success rate on UR5 assembly tasks with 0.5mm tolerance. With a Master’s in Computer Science from Rice and prior graduate work in plasma physics at Peking University, he brings a strong analytical foundation and cross-disciplinary curiosity to applied ML problems. An avid reader and implementer of state-of-the-art RL papers, he blends research-driven experimentation with production deployment experience and a growing interest in quantum computation’s future impact.
8 years of coding experience
2 years of employment as a software developer
Master of Computer Science, Computer Science, GPA 3.6, Master of Computer Science, Computer Science, GPA 3.6 at Rice UniversityMaster of Science, Plasma Physics, GPA 3.7, Master of Science, Plasma Physics, GPA 3.7 at Peking University
English, Chinese, Japanese
Github Skills (64)
pytorch10
distributed-training10
parallel10
python10
machine-learning10
industrial10
reinforcement-learning10
deep-learning10
tensorflow10
speech10
natural-language-processing10
neural-network10
paddlepaddle10
computer-vision10
nlp10
Programming languages (3)
Github contributions (5)
ktlichkid/Paddle
Apr 2018 - Oct 2018
PArallel Distributed Deep LEarning
Contributions:352 pushes, 55 branches in 5 months
memory-efficientcaffe2paralleldeep-learningmachine-learning
ktlichkid/FluidAPISpec
Jul 2018 - Jul 2018
Contributions:10 pushes, 2 branches in 5 days
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