Summary
Fabio Galuppo is a seasoned software engineer, independent consultant and trainer with 13+ years building high-performance trading systems, low-latency infrastructure and cross-language components primarily in C++, C# and Java. He blends strong theoretical grounding in algorithms, AI and discrete math with pragmatic hands-on architecture and optimization work—having delivered conflation algorithms, Intel MKL-backed risk engines, and Redis/SBE-based communication layers. A polyglot developer and maintainer in the C++ community, he contributes open-source tooling and shares practical expertise through trainings and conference talks. His academic background (MSc in AI) informs research-driven interests in programming languages, distributed computing, combinatorial optimization and the intersection of quantitative finance with machine learning. Based in São Paulo, Fabio is known for turning performance bottlenecks into order-of-magnitude improvements and for mentoring teams across the full software lifecycle. He’s an avid lifelong learner who catalogs experiments and resources publicly (github.com/fabiogaluppo) and still hopes to meet heroes like Knuth or Stepanov.
13 years of coding experience
24 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Universidade Ibirapuera
Mackenzie Presbyterian University
Technician Electrical Engineering Technologies/Technicians, Technician Electrical Engineering Technologies/Technicians at Escola Técnica Walter Belian
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Universidade São Judas Tadeu
Applied Mathematics, Applied Mathematics at Museu da Matemática (Prandiano)
English