Summary
Pierre Turpin is a Paris-based Java software engineer with 13 years of experience building high-performance quantitative and trading systems. He brings deep expertise in low-latency Java, numerical computing (BLAS/ATLAS via JNI), and robust production tooling from roles at Criteo, BNP Paribas CIB, and D2SI where he delivered simulators, parallel execution engines and configuration-system rewrites. Trained as an engineer (INSA Lyon) with an AI master’s, he pairs rigorous research experience in clustering and cellular modeling with pragmatic delivery of monitoring, back-testing and risk/reporting platforms. Colleagues would describe him as someone who relentlessly optimizes both algorithms and operational quality, often migrating legacy formats and integrating optimized native libraries to squeeze performance gains.
13 years of coding experience
1 year of employment as a software developer
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Université Claude Bernard Lyon 1
Diplôme d'ingénieur Ingénierie informatique, Diplôme d'ingénieur Ingénierie informatique at INSA Lyon - Institut National des Sciences Appliquées de Lyon
French, English, German