Jiancong Huang
Robotics Software Engineer at Dorabot
Guangzhou City, Guangdong Province, China
Summary
👤
Senior🎓
Top SchoolJiancong Huang is a robotics software engineer with eight years of hands-on experience applying state representation and reinforcement learning to real-world robot manipulation and agricultural tasks. Based in Guangzhou, he has developed self-supervised RL frameworks and perception pipelines across Kinova, Universal, and Han’s robots, and shipped applied solutions such as fruit sorting with YOLO+GGCNN and RL-based plant pruning. His background blends postgraduate mechatronics training with a Udacity deep learning nanodegree, reflecting both theoretical grounding and practical ML skills. At Dorabot and prior research positions he has bridged academic research and industry deployment, contributing to NeurIPS competition work during a research stint at UM-SJTU. Known as hardworking on GitHub, he brings a pragmatic focus on robust, deployable robotics algorithms rather than purely academic prototypes.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Mechanical Engineering, Magna cum laude, Bachelor's degree, Mechanical Engineering, Magna cum laude at Tianjin University Renai CollegePostgraduate, Mechatronics, Robotics, and Automation Engineering, Postgraduate, Mechatronics, Robotics, and Automation Engineering at Guangdong University of TechnologyNano Degree, Deep Learning, Nano Degree, Deep Learning at Udacity
English, Chinese, Chinese
Stackoverflow
16reputation
5kreached
2answers
1question
Github Skills (85)
pose10
gymnasium10
face10
q-learning10
intel9
caffe9
camera9
deep-reinforcement-learning9
human-pose-estimation9
machine-vision9
openpose9
reinforcement-learning9
computer-vision8
simulations8
cpp8
Programming languages (6)
Github contributions (5)
huangjiancong1/rlkit_autotune
Jul 2020 - Jan 2021
Contributions:11 commits, 5 pushes in 5 months
birlrobotics/Recovery_reimplement
Mar 2019 - May 2019
Reimplement Prof.Kroemer's recovery paper
Contributions:4 PRs, 60 pushes, 10 branches in 1 month
reimplementrecovery
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