Florian David is a software engineer with a PhD in Computer Science and 16 years of experience specializing in multicore and distributed systems, performance profiling, and JVM internals. He has applied academic rigor to industry problems at Datadog and Criteo, contributing notably to Datadog's Java APM client by implementing profiling V2.4 support and agentless upload paths. His research background includes memory optimization for Java constraint solvers and JVM experimentation, giving him deep insight into low-level performance trade-offs. Complementing his technical expertise, he pursued business fundamentals at INSEAD and MOOCs in economics to better align engineering work with product and business priorities. Based in the Greater Paris area, he maintains a public portfolio of projects and enjoys bridging cutting-edge research with production-grade observability tools.
16 years of coding experience
7 years of employment as a software developer
Business Foundations Certificate, Affaires / gestion, général, Business Foundations Certificate, Affaires / gestion, général at INSEAD
Master's degree, Distributed Systems and Applications, First Class Honours (16.3/20), Master's degree, Distributed Systems and Applications, First Class Honours (16.3/20) at Université Pierre et Marie Curie (Paris VI)
Contributions:2 reviews, 22 commits, 7 PRs in 2 years 4 months
Contributions summary:Florian primarily focused on enhancing the Datadog APM client for Java. Their contributions involved implementing new configuration options for the V2.4 format used in profiling data uploads and setting the appropriate agentless profiling URLs. Furthermore, the user added support for the V2.4 data format within the profiling uploader, including the creation of request bodies and related event structures. Several tests were written to validate the new V2.4 format implementation.
Contributions:1 release, 12 pushes, 1 branch in 8 years 2 months
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