Director Of Engineering at The Apache Software Foundation
San Jose, California, United States
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Summary
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Senior
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Top School
Miao Wang is a Director of Engineering at Adobe with a decade of experience building large-scale data platforms and leading global engineering teams from San Jose. She spearheads Adobe Lakehouse and previously led platform engineering for Adobe Experience Platform 2.0, driving scalable ingestion, governance, and real-time customer data solutions using Spark, Kafka, Iceberg and Kubernetes. A hands-on engineer at heart, she has deep Apache Spark expertise—contributing PySpark ML enhancements and implementing PowerIterationClustering as a transformer in spark.ml—alongside a history of open-source commits to Apache Toree. Her background spans high-performance networking and distributed systems at Alibaba, IBM, and A10, where she engineered solutions for terabyte-scale processing, RDMA monitoring, and traffic engineering. Wharton-trained in business and holding advanced computer science degrees, she combines technical depth with product and team-building instincts, having grown and promoted multiple engineers under her leadership. An engineering leader comfortable moving between production code, open-source projects, and executive strategy, she brings rare cross-domain fluency in data infrastructure and applied ML.
10 years of coding experience
22 years of employment as a software developer
Ph.D Computer Science, Ph.D Computer Science at University of Nebraska-Lincoln
Bachelor Electrical Engineering, Bachelor Electrical Engineering at Xi'an Jiaotong University
Master of Business Administration - MBA Business Administration and Management General, Master of Business Administration - MBA Business Administration and Management General at The Wharton School
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Back-end Developer
Contributions:1 commit, 93 PRs, 598 comments in 1 day
Contributions summary:Miao primarily contributed to the Python implementation of PySpark ML features, specifically focusing on enhancing the Python API for machine learning functionalities within the Spark ecosystem. Their work involved adding new parameters, modifying existing methods, and adding new tests to support these changes. The user implemented and documented the functionality of a PowerIterationClustering as a transformer in spark.ml. These changes show the user's expertise in Spark ML and data processing.
Contributions:5 PRs, 408 pushes, 58 branches in 5 years 10 months
spark-mlapachebig-datasparkscala
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Miao Wang - Director Of Engineering at The Apache Software Foundation