Nicolas Duchemann
Co-Founder at YALG.ai
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolNicolas Duchemann is a FullStack developer based in Paris with a decade of experience building cloud-native, production-ready systems for industries ranging from telecom and aerospace to smart city and logistics. He blends backend expertise in Python, Node/TypeScript and AWS architecture with hands-on experience in container orchestration (Docker, Kubernetes, Helm), databases (MongoDB, MariaDB, SQLite) and real-time/web3 applications. As a former CTO and serial builder at startups and labs, he moves comfortably between architecting scalable microservices and shipping product features end-to-end. He’s taught blockchain applications at Université Paris Dauphine and has implemented consortium Ethereum notarization and AI-driven security platforms, showing a knack for applying emerging tech to real business processes. Known for translating complex data and ML needs into reliable APIs and infra, he often pairs pragmatic engineering with a strong focus on cost, observability and team enablement.
10 years of coding experience
9 years of employment as a software developer
Sciences de l'ingénieur, Sciences de l'ingénieur at Classe préparatoire aux grandes écoles PTSI/PTMaster Management et Administration des Entreprises (MAE), Master Management et Administration des Entreprises (MAE) at University of Paris I: Panthéon-SorbonneExecutive MBA, Executive MBA at IAE Paris - Sorbonne Business SchoolMBA Management & Data Science, MBA Management & Data Science at Paris ESLSCA Business SchoolDiplôme d'ingénieur Informatique, Diplôme d'ingénieur Informatique at EFREI - Grande école du numérique
Stackoverflow
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Github Skills (18)
algorithms8
scientific-computing7
python7
segmentation6
autoencoder6
scipy6
hierarchical6
point-cloud5
pointnet5
classification5
deep-learning4
keras-layer3
artificial-intelligence3
pytorch3
transformers3
Programming languages (3)
Github contributions (5)
nicolasdonati/QMaps
Oct 2021 - Jan 2023
Implementation of Complex Functional Maps
Contributions:17 commits, 4 pushes, 1 comment in 1 year 3 months
nicolasdonati/DUO-FM
Mar 2022 - Nov 2022
Implementation of CVPR2022 paper: "Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching".
Contributions:16 commits, 13 pushes, 1 branch in 8 months
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