Wenxing Lyu
Software Engineer For Siemens Low Code at Mendix (acquired by Siemens AG)
Shanghai, Shanghai, China
Summary
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Rockstar🎓
Top SchoolWenxing Lyu is a software engineer with 11 years of experience, currently building low-code enterprise features at Siemens/Mendix in Shanghai, including marketplace recommendation engines, metrics dashboards, and Mendix widgets for 3D viewing and cognitive AI. He holds an MS in Computer Science from Wayne State University and blends web application development with applied NLP and ML practices. An active contributor to Huawei Noah’s Ark Lab projects, he has implemented Bayesian optimization components and evolutionary algorithms in HEBO and helped shape design-space tooling for research codebases. Beyond code, Wenxing has translated and refined technical Haskell content into Chinese, showing a rare mix of practical engineering, ML research contributions, and strong technical writing.
12 years of coding experience
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Wayne State UniversityBachelor of Engineering - BE, Computer Software Engineering, Bachelor of Engineering - BE, Computer Software Engineering at Hubei University of Automotive Technology (HUAT)exchange student, computer science, exchange student, computer science at Duale Hochschule Baden-Württemberg
Stackoverflow
3,347reputation
154kreached
8answers
78questions
Github Skills (32)
algorithm10
pytorch10
translation10
python10
optimizers10
model-driven10
machine-learning10
rs10
model-building10
bayesian10
deep-learning10
optimisation10
translate10
modeling10
documentation10
Programming languages (10)
Github contributions (5)
huawei-noah/noah-research
Dec 2020 - Feb 2022
Noah Research
Role in this project:
ML Engineer
ML EngineerContributions:16 commits, 1 PR, 15 pushes in 1 year 2 months
Contributions summary:Wenxing's contributions center around the development and modification of design spaces and related functionalities for a machine learning project. They uploaded code for defining and managing different types of parameters (integer, continuous, boolean, categorical) within the design space. Further commits show the user working on evolution optimization.
noah
huawei-noah/HEBO
Sep 2021 - Jul 2022
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
Role in this project:ML Engineer
ML EngineerContributions:18 commits, 2 PRs, 21 pushes in 10 months
Contributions summary:Wenxing made several commits related to HEBO, a Bayesian optimization and reinforcement learning library. They implemented conditional deep ensemble models, version updates, and added VCBO (Voronoi-based Bayesian Optimization) and an evolutionary algorithm. The commits demonstrate active contributions to core modeling functionalities and optimization algorithms within the library.
bayesianreinforcement-learning
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