Summary
Grégoire Clément is a Swiss-based AI architect and founder with a decade of experience turning research-grade machine learning into production-ready systems for enterprises and SMEs. He has led AI platform development at a major bank and driven data science teams and projects at Visium, coupling hands-on ML engineering with cloud-native infrastructure expertise across Azure, GCP and AWS. His work spans unsupervised anomaly detection research (fast, training-free methods) to end-to-end automated B2B products that already serve paying customers, reflecting a pragmatic focus on efficiency and impact. A longtime builder since his university days (founding web and social ventures), he blends entrepreneurial grit with formal training from EPFL and leadership studies at Harvard Business School. Notably, he emphasizes correct engineering practices — "commit and push it, but most importantly merge it correctly" — signaling a discipline for shipping reliable systems.
10 years of coding experience
7 years of employment as a software developer
Master Thesis: Unsupervised Anomaly Detection, Master Thesis: Unsupervised Anomaly Detection at EPFL
Leadership Principles, Leadership Principles at Harvard Business School
CAE : Cambridge Advanced English English, CAE : Cambridge Advanced English English at Liverpool School of English (LSE)
French, English, German, Japanese, German