Sheng-qi Shen
Mid-level Engineer at Institute of Automation, Chinese Academy of Sciences
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolSheng-qi Shen is a mid-level AI engineer based in Haidian District, Beijing, with about a decade of experience focused on decision making in games using deep reinforcement learning, self-play, FSP and PFSP methods. At the Institute of Automation, Chinese Academy of Sciences he has progressed from internship to mid-level engineer while driving multi-agent and wargame AI research and prototyping. He combines a formal control systems background (Master's in Control Science and Engineering) with practical web development training from Udacity and Free Code Camp, giving him both theoretical depth and implementation versatility. Known as a machine-learning enthusiast on GitHub, he brings repeated hands-on experience turning RL research into robust game-playing agents.
10 years of coding experience
3 years of employment as a software developer
Full Stack Web Development Certification, Computer Software Engineering, Full Stack Web Development Certification, Computer Software Engineering at Free Code CampMaster's degree, 控制科学与工程, Master's degree, 控制科学与工程 at 北京化工大学Front-End Web Developer Nanodegree, Front End Nano Degree, Front-End Web Developer Nanodegree, Front End Nano Degree at Udacity
Chinese, English
Github Skills (16)
hexo9
bazel9
scalable9
build-system9
bazel-rules9
extensible9
notebook9
nodejs8
nearest-neighbors8
graph7
javascript7
typescript7
static-site-generator5
gulp3
webpack2
Programming languages (4)
Github contributions (5)
SSQ/Coursera-UW-Machine-Learning-Clustering-Retrieval
Oct 2017 - Jan 2019
Contributions:33 commits, 32 pushes, 1 branch in 1 year 3 months
SSQ/Coursera-Ng-Convolutional-Neural-Networks
Jan 2018 - Jan 2019
Contributions:46 commits, 41 pushes, 1 branch in 1 year
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