Terence Brouns
Data Scientist
Eindhoven, North Brabant, Netherlands
Summary
👤
Senior🎓
Top SchoolTerence 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
Github Skills (32)
algorithm10
eye-tracking10
prediction10
workbench9
open-source8
depth-estimation8
google-cloud-platform7
automl6
audio6
pipeline6
google-cloud5
vertex5
notebook5
pytorch4
machine-learning4
Programming languages (5)
Github contributions (5)
tbrouns/paser
Jul 2017 - Nov 2018
Contributions:53 commits, 28 pushes, 1 branch in 1 year 4 months
tbrouns/eyestalker
Oct 2016 - Apr 2022
Robust video-based eye tracking using recursive estimation of pupil characteristics
Contributions:2 releases, 186 commits, 33 pushes in 5 years 6 months
eye-trackingpupil-detectionrecursive-estimationpupil-characteristicsneuroscience-methods
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