Shaomeng Wang

Mechanical Engineer at GE Appliances, a Haier Company

Berkeley, California, United States
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Summary

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Rockstar
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Top School
Shaomeng Wang is a mechanical engineer based in Berkeley with seven years of hands-on experience in simulation, modeling, custom design, project management, and data-driven research. At GE Appliances he applies practical engineering to real products while his Berkeley projects show a knack for human-centered design—developing ventilated and cooled costume systems and expressive animatronic faces to improve user experience. His background spans academic research (wearable rehabilitation devices) to capstone robotics and remote-delivery platforms, demonstrating strong prototyping and systems-thinking skills. Unusually for a mechanical engineer, he has contributed backend code to Alibaba’s Alink machine learning platform, working on algorithmic improvements to clustering implementations, which highlights his comfort bridging mechanical systems and software/ML ecosystems.
code6 years of coding experience
job1 year of employment as a software developer
bookMaster’s Degree, Mechanical Engineering, 3.5, Master’s Degree, Mechanical Engineering, 3.5 at University of California, Berkeley
bookBachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Hope College
languagesChinese, English
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Github Skills (6)

flink-sql10
apache-flink10
clustering9
machine-learning9
javas8
java8

Programming languages (1)

Java

Github contributions (4)

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alibaba/Alink

Dec 2019 - Oct 2022

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Role in this project:
userBackend Developer
Contributions:1 review, 341 commits, 13 PRs in 2 years 10 months
Contributions summary:Shaomeng primarily contributed to the `core/src/main/java/com/alibaba/alink/operator/batch/clustering` directory, indicating they worked on the backend implementation of the Alink library. The commits show modifications to Java code, specifically related to the Bisecting K-Means algorithm, including updates to the calculation and splitting of cluster centers. The contributions suggest that the user was involved in the development and optimization of machine learning algorithms within the Alink platform.
xgboostdatastructurepaiaprioriflink
shaomengwang/Alink

Feb 2020 - Feb 2020

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Contributions:2 releases, 2 PRs, 1 push in 5 days
xgboostpaidata-scienceflinkmachine-learning
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