Mingqi Gu
Software Engineer at SAP
Los Angeles, California, United States
Summary
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Rockstar🎓
Top SchoolMingqi Gu is a software engineer with nine years of hands-on experience building full-stack systems and computer vision applications, currently contributing at SAP from Los Angeles. His background spans IoT and image recognition—having developed face recognition, environmental sensing, and analytics platforms for a hi-tech zone—and research-focused video segmentation and 3D vision work as a PDRA at the University of Sheffield. Comfortable across Node.js, Java/Spring, front-end tech, and hardware integration, he bridges algorithmic vision work with production-grade system design. Trained at Shanghai Jiao Tong, East China Normal, and USC, he combines academic depth with practical engineering, often translating research prototypes into deployable services. An interesting thread through his career is the blend of sensor-driven IoT projects and video/3D research, giving him a unique perspective on multimodal perception systems in real-world deployments.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Southern CaliforniaBachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at East China Normal UniversityExchange, Computer Science, Exchange, Computer Science at Shanghai Jiao Tong University
Chinese, English, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (20)
segmentation10
paper10
survey10
artificial-intelligence9
object-tracking9
deep-learning9
3d-reconstruction9
matlab8
gradio-interface7
image-processing6
slam5
user-preferences4
image-segmentation4
3d3
chatgpt3
Programming languages (3)
Github contributions (5)
gaomingqi/FACM
Jun 2017 - Oct 2019
[ICIP 2016] A MATLAB implementation of the texture segmentation method in paper: "A factorization based active contour model for texture segmentation", IEEE International Conference on Image Processing (ICIP 2016).
Contributions:10 commits, 8 pushes, 1 branch in 2 years 4 months
image-processingmatlabsegmentation
gaomingqi/VOS-Review
Sep 2021 - Sep 2022
Datasets and Papers (with codes) discussed in "Deep Learning for Video Object Segmentation: A Review", Artificial Intelligence Review, 2023.
Contributions:85 commits, 85 pushes in 1 year 1 month
artificial-intelligencedeep-learningsegmentationvideo-object-segmentationsurvey
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