Xingda Wang

Leinster, Ireland
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Summary

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Xingda Wang is a seasoned data scientist and software engineer with nine years’ experience building ML-driven products and web applications across enterprise and cloud environments. He has led end-to-end projects from ETL and feature engineering to model deployment—driving AML, fraud detection, and account health scoring initiatives using tools like Spark, XGBoost, BERT, and Hadoop/Snowflake integrations. Comfortable in both Python and traditional web stacks (PHP, Drupal, Laravel), he bridges data science and engineering to deliver production-ready pipelines and automated model tuning. Known for pragmatic architecture design and cross-functional collaboration, he has scaled solutions for hundreds of millions of users and routinely translates technical work into business impact. Based in Leinster, Ireland, he pairs strong responsibility and teamwork with a persistent curiosity for new techniques such as coreference-aware NLP to improve real-world detection systems.
code9 years of coding experience
job9 years of employment as a software developer
bookBachelor's Degree, Computer Software Engineering, Bachelor's Degree, Computer Software Engineering at Harbin Engineering University
bookMaster's Degree, Computer Software Engineering, Master's Degree, Computer Software Engineering at University of Limerick
languagesEnglish, Chinese, Japanese
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Stackoverflow

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11reputation
15kreached
1answer
0questions
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Github Skills (27)

moviepy10
chatgpt9
tiktok9
python9
ai9
automation9
hadoop7
ctr6
tensorlayer6
java6
click-through6
jsp6
keras5
spark4
recommendation-system4

Programming languages (5)

JavaC++ScalaJupyter NotebookPython

Github contributions (5)

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Tensorflow Handbook 2.0是一本开源的书籍,目标是帮助使用Tensorflow2.0进行深度学习开发和研究的朋友快速入门,其中包含的代码全部通过测试保证可以成功运行
Contributions:12 commits, 2 PRs, 18 pushes in 5 months
tensorlayerdeep-learningmachine-learninghandbooktensorflow
wangxingda/MoneyPrinterTurbo

Mar 2024 - Apr 2024

利用大模型,一键生成短视频
Contributions:10 pushes, 1 branch in 1 month
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Xingda Wang