Nadir Debbagh
Assistant Manager Data Engineer
Greater Paris Metropolitan Region France
Summary
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Senior🎓
Top SchoolNadir Debbagh is an Assistant Manager Data Engineer based in Greater Paris with nine years of experience bridging machine learning research and production-grade data platforms. Trained as an engineer in computer systems and holding a master’s in Machine Learning for Data Science, he has optimized sparse deep-learning operators at MIT CSAIL and integrated NLP accelerators during research stints at NYU Abu Dhabi. At Alcatel‑Lucent he built Kafka-to-ClickHouse pipelines and applied graph embeddings and NLP to map information flows, and at Deloitte he progressed from Data Engineer to Assistant Manager driving data engineering at scale. Rigorous and versatile, he combines low-level performance work (Tiramisu compiler experience) with cloud-native pipeline design on Kubernetes, and maintains a public portfolio at nadir199.github.io that reflects both research and production projects.
9 years of coding experience
3 years of employment as a software developer
Engineer's degree Computer Systems (SIQ), Engineer's degree Computer Systems (SIQ) at Ecole nationale Superieure d'Informatique (ESI)Master's degree Machine Learning for Data Science, Master's degree Machine Learning for Data Science at Université Paris Cité
Github Skills (12)
optimization9
linear-algebra9
code-generation9
parallel9
portable9
gradient-descent8
machine-learning8
compiler7
deep-neural-networks5
caffe1
sparse1
neural-network1
Programming languages (1)
Github contributions (5)
nadir199/tiramisu
Jul 2019 - Nov 2019
A polyhedral compiler for expressing fast and portable data parallel algorithms
Contributions:2 PRs, 26 pushes in 4 months
parallelpolyhedralparallel-algorithmsparallel-datacompiler
nadir199/nadir199.github.io
Jun 2019 - Feb 2022
Contributions:17 pushes in 2 years 8 months
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