Edward Maeng is a Software Engineer II with 10 years of experience building and operating large-scale data platforms and backend systems, currently driving CoreAI Data Platform efforts at Microsoft. He has designed and productionized high-throughput ETL and event pipelines that process hundreds of terabytes and tens of millions of events daily, using Spark, Event Hubs, Azure Data Factory, and Kusto, and built resilient monitoring and redaction tooling to protect PII at scale. Prior roles at VMware and startups show strong system-level chops—modernizing pipelines in Ruby, deploying to Kubernetes, and operating thousands of nodes in on-call rotations. An active open-source contributor, he’s improved .NET and distributed-storage libraries (Exceptionless, Foundatio) with practical performance and localization fixes, including storage optimizations and compression enhancements. Known for translating ambiguous requirements into reliable production systems, he pairs deep backend engineering with a keen attention to observability and operational excellence.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - B.S., Electrical Engineering & Computer Sciences, Bachelor of Science - B.S., Electrical Engineering & Computer Sciences at University of California, Berkeley
Contributions:37 commits, 8 PRs, 26 comments in 1 year 9 months
Contributions summary:Edward primarily focused on improving the Exceptionless .NET client library. Their contributions include fixing logging issues in the Chinese environment, optimizing object storage by replacing `GetFiles` with `EnumerateFiles`, and abstracting serialization/deserialization for storage objects. They also added features to the file logger, including event time and level.
Pluggable foundation blocks for building distributed apps.
Role in this project:
Back-end Developer
Contributions:20 commits, 8 PRs, 25 comments in 1 year
Contributions summary:Edward primarily contributed to the Foundatio framework, focusing on queue implementations and file storage functionalities. Their work involved synchronizing time properties in the InMemoryQueue, adding unit tests for queue functionality, and optimizing FolderFileStorage performance. They also improved error handling and logging within the file storage components, as well as implemented a new compression option in the MessagePackSerializer.
lockloggingc-sharpstorageaws
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