Summary
Antoine Cayphas is a data scientist with a decade of hands-on experience building production ML systems and large-scale data pipelines across cloud platforms (BigQuery, Azure, AWS). He has delivered practical solutions from app-download forecasting and anomaly detection to aircraft emissions estimation and legal-document labelling, often turning research ideas into microservices and serverless deployments. Trained in AI with a complementary management degree, he blends technical depth in Python, time series, NLP and deep learning with a business-minded approach to ASO and product metrics. Comfortable presenting to both technical and non-technical audiences, he has a track record of fast prototyping under real-world constraints and mentoring students and clients. An easy-going collaborator who once modelled a virtual game economy for his master’s thesis, he’s now based in Luxembourg and open to sponsored opportunities while promoting Kinball in Australia.
10 years of coding experience
5 years of employment as a software developer
Specialized Master degree, Industrial and technological management, Distinction, Specialized Master degree, Industrial and technological management, Distinction at Solvay Brussels School
Master's degree, Computer Science - Artificial Intelligence, Grande Disctinction, Master's degree, Computer Science - Artificial Intelligence, Grande Disctinction at Université libre de Bruxelles
French, German, English