Researcher Adjunct at ESILV - Ecole Supérieure d'Ingénieurs Léonard de Vinci
Paris, Ile-de-France
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Summary
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Senior
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Daniel Cottet is a researcher and engineer with 11 years of experience designing and implementing real-time information processing and distributed systems, currently affiliated with LIP6 and teaching cloud data structures and algorithms at ESILV. He specializes in stream processing, queueing-theoretic predictive models and ML-driven resource optimization, pairing rigorous academic research (PhD work at Sorbonne) with hands-on product delivery in Go for projects like delivery planning and disaster-response platforms. Daniel has led multidisciplinary teams from requirements through architecture and implementation, often building operator libraries and reactive replication strategies for fault-tolerant streaming pipelines. His work combines social impact applications (disaster support platforms) with optimization research, and he’s comfortable operating under pressure while mentoring students and shaping curricula.
11 years of coding experience
9 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Sorbonne Université
Master's degree Computer Science, Master's degree Computer Science at Universidad de Santiago de Chile
Contributions:4 PRs, 46 pushes, 15 branches in 6 months
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Daniel Cottet - Researcher Adjunct at ESILV - Ecole Supérieure d'Ingénieurs Léonard de Vinci