Kais Baccour
PHD Student at Laboratoire Bordelais de Recherche en Informatique (LaBRI)
Bordeaux, Nouvelle-Aquitaine, France
Summary
👤
Senior🎓
Top SchoolKais Baccour is a PhD student and experienced computer scientist based in Bordeaux with eight years of hands-on experience applying AI to dynamic network problems. His research and industry work combine Graph Neural Networks and Deep Reinforcement Learning to optimize vehicular, IoT, and wireless sensor networks for latency, energy and resilience under changing topologies. He has practical deployment experience from internships and industry roles—building GNN-based prioritization for Orange Tunisie and supporting Palantir Foundry users at FORVIA—bridging research models and production constraints. Kais also teaches advanced data structures and TCP/IP architecture, signaling an ability to explain complex systems to diverse audiences. He brings a hybrid profile that blends rigorous academic methods with pragmatic engineering, often focusing on long-term adaptive strategies rather than short-term fixes. Outside core research, he has delivered applied AI solutions like a ChatGPT-powered network assistant, highlighting a knack for user-facing tooling as well as foundational models.
8 years of coding experience
Preparatory Institute for Engineering Studies - El-Manar (IPEIEM)Baccalauréat Mathématiques, Baccalauréat Mathématiques at Lycée Pilote de l'Ariana (LPA)Master's degree Smart Systems, Master's degree Smart Systems at ENSI - Ecole Nationale des Sciences de l'Informatique
French, English, Arabic
Github Skills (71)
chain10
cosmos9
validators9
blockchain9
ethereum9
charts8
monitoring8
dashboard8
prometheus8
mysql8
elasticsearch7
smart-contracts7
helm7
monorepo7
data-visualization7
Programming languages (10)
Github contributions (5)
Lagrange-Labs/lgn-coprocessor
May 2024 - Apr 2025
Hyper-parallel ZK coprocessing.
Contributions:6 releases, 14 reviews, 94 PRs in 10 months
noislabs/deployments
Apr 2023 - Apr 2024
Contributions:1 review, 21 PRs, 26 pushes in 1 year
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