Jingjing Huang
Software Engineer at Ministère de l'Environnement
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolJingjing Huang is a software engineer with eight years of practical experience bridging applied mathematics, robotics, and energy systems through software. Trained at MINES ParisTech and Shanghai Jiao Tong University, she builds data-driven solutions in Python, from embedded Raspberry Pi prototypes and PID controllers to maintaining optimization code for the TITAN low-carbon planning project at the French Ministry of the Environment. She has delivered tangible efficiency gains—such as 30x faster product-data analysis via Macro/VBA at Valeo—and brings hands-on experience with SLAM, mobile app development, and GitLab-based project stewardship. Based in Paris, Jingjing combines rigorous technical foundations with a pragmatic, creative approach to turn research-grade algorithms into robust, production-ready tools.
8 years of coding experience
1 year of employment as a software developer
Master's Degree in Science and Executive Engineering, Applied Mathematics, Master's Degree in Science and Executive Engineering, Applied Mathematics at MINES ParisTechMaster of Engineering - MEng, Energy Management and Systems Technology/Technician, Master of Engineering - MEng, Energy Management and Systems Technology/Technician at Shanghai Jiao Tong University
English, French, Chinese
Github Skills (19)
prediction5
explore5
cascade5
recurrent5
css4
javascript3
machine-learning2
neural-network2
html2
deep-learning2
classification1
python1
allocation1
lda1
latent-dirichlet-allocation1
Programming languages (2)
Github contributions (5)
zijie2333/MUCA
Nov 2018 - Feb 2020
MUCA: A Multi-Content-Aware Recurrent Neural Network for Cascade Prediction
Contributions:16 commits, 4 PRs, 14 pushes in 1 year 3 months
predictiondeep-learningcascadecontent-awaremachine-learning
zijie2333/Stance-Prediction-on-Twitter-Network
Jul 2018 - Nov 2018
Contributions:17 pushes, 1 branch in 4 months
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