Jingye Wang
Machine Learning Engineer Thesis Intern at ABN AMRO Bank N.V.
Netherlands
Summary
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Senior🎓
Top SchoolJingye Wang is a machine learning engineer and backend software specialist with nine years’ experience building scalable microservices, ETL pipelines, and MLOps solutions across finance and consumer-tech firms. Currently at ABN AMRO, he helps evolve ML infrastructure and productionize models, drawing on hands-on expertise with Spark, Kafka, HBase, Airflow, Mlflow, Databricks, Docker and Kubernetes. His background includes Java-heavy backend roles at NetEase, Huawei and 得物App, where he focused on high-availability services and agile delivery, and he pairs that with advanced studies in computer science from VU Amsterdam and Zhejiang University. Detail-oriented and communicative, Jingye bridges data science and engineering teams to turn experimental models into reliable pipelines, and he often combines traditional backend rigor with cloud-native MLOps practices that aren’t obvious from a standard resume.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Vrije Universiteit Amsterdam (VU Amsterdam)Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Taiyuan Li Gong DaxueMaster's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at Zhejiang University
Stackoverflow
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Github contributions (5)
elise-is/LiveBoost
May 2018 - Sep 2018
Contributions:16 commits, 10 pushes, 1 branch in 3 months
elise-is/Multilevel-Modeling-for-Quantitative-Research
Sep 2016 - Dec 2016
Contributions:11 pushes, 1 branch in 3 months
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