Summary
Terence Brouns is a data scientist with nine years of experience building and deploying deep learning and ML solutions across industry and research, currently contributing at RTL and ElastIQ-Connect. He has a strong track record of delivering end-to-end ML lifecycles—scoping projects, engineering data pipelines, training models, and productionizing services—with patents and publications validating impact in auto-labelling and self-supervised 3D localization. Comfortable working directly with stakeholders and leading cross-functional teams, he has built ML-as-a-service platforms, model release pipelines, and tooling for annotation and inference. Trained at Radboud University (MSc, cum laude), Terence blends a research mindset with pragmatic engineering, is visually driven in presenting insights, and excels at rapidly turning complex problems into deployable value.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree, BSc Science, Bachelor's degree, BSc Science at Radboud University
English, Dutch, German