Edwin Jung is a versatile Staff-ish engineer with 10+ years building high-performance systems across robotics, NLP, medical visualization, and cloud-native microservices, primarily in Python and the C++ family. He combines strong OOD, TDD, and SOLID discipline with hands-on experience in Kubernetes/Knative, streaming stacks (Kafka/RabbitMQ/Storm), and scalable data ingestion into Elasticsearch. Edwin has a track record of reducing costs and improving developer experience—shipping FinOps dashboards, introducing serverless for microservices, and optimizing backend storage and API usage. Comfortable as an individual contributor in real-time embedded projects and large-scale cloud platforms, he also mentors teams, runs EventStorming workshops, and drives architectural documentation for distributed teams. An unexpected thread through his career is deep systems work—from EtherCAT robot controllers and DARPA trauma-pod orchestration to 3D radiotherapy visualization—bringing rigorous engineering to both hardware-integrated and data-driven software.
10 years of coding experience
18 years of employment as a software developer
MS Mechanical Engineering, MS Mechanical Engineering at University of Texas at Austin
BS Mechanical Engineering Mathematics, BS Mechanical Engineering Mathematics at University of Michigan at Ann Arbor
Contributions:9 releases, 4 PRs, 9 pushes in 9 months
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