Summary
Koen Dejonghe is a Data & Machine Learning Engineer with 12 years of experience building real-time data platforms, streaming analytics, and deep learning workflows using Kafka, Akka Streams, Spark, Scala, PyTorch and related tooling. He has delivered production streaming engines and ML-driven features across sectors including air traffic control, telecom, parking revenue management and lab reporting, combining low-latency architecture with practical model deployment. At Cegeka and client sites he architects end-to-end pipelines—ingesting MQTT, proxying to Kafka, processing with Akka/Spark, and operationalizing models in notebooks and PyTorch. A pragmatic programmer who subscribes to “What I cannot create, I do not understand,” he blends hands-on implementation with systems thinking. Outside work he pursues endurance challenges—solo 12-day Arctic hikes and year-long bicycle travel—which underscore his resilience and capacity to tackle long, complex projects.
12 years of coding experience
14 years of employment as a software developer
Graduaat Informatica, Graduaat Informatica, Onderscheiding, Graduaat Informatica, Graduaat Informatica, Onderscheiding at VHTI Kortrijk
Dutch, English, French, German