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.
9 years of coding experience
9 years of employment as a software developer
Bachelor's Degree, Computer Software Engineering, Bachelor's Degree, Computer Software Engineering at Harbin Engineering University
Master's Degree, Computer Software Engineering, Master's Degree, Computer Software Engineering at University of Limerick
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