Summary
Edgar Honing is an experienced data engineering and systems architect with 13+ years building multi-user, multi-tiered architectures and verification-driven infrastructure for large-scale applications. Currently leading AI Labs - Data Engineering, he focuses on integrating big data and machine learning platforms—Apache Spark, TensorFlow and cloud-native tooling—into production-ready pipelines and organizational practices. His background spans low-level protocol verification and model checking to high-level ML pipeline orchestration, giving him rare fluency across correctness, performance, and operationalization concerns. A polyglot developer comfortable in Java/Scala/Python and several logic and rewrite languages, he blends imperative, functional and formal methods to solve hard systems problems. Past roles include principal consulting and leadership across startups and enterprises (Overstock, SoFi, VMware), where he produced scalable frameworks and rapid prototypes that influenced company-wide adoption. Based in Tacoma, WA, he pairs deep academic training in AI image processing with a pragmatic focus on deploying reliable, verifiable ML infrastructure.
12 years of coding experience
27 years of employment as a software developer
MSc Informatics (concentration: AI Image Processing), MSc Informatics (concentration: AI Image Processing) at University of Amsterdam
English, Dutch, German, French