Jose Neto is an HPC researcher and software engineer with 12 years of experience building GPU-native systems where performance is the primary design constraint. Currently pursuing a PhD in High Performance Computing, he blends academic research on GPU-accelerated algorithms and Lattice Boltzmann simulations with production-grade engineering across DevOps, real-time monitoring, and distributed data platforms. He has delivered GPU-resident databases to speed RAG systems and built CNN/LSTM and reinforcement learning models for financial forecasting and ESG analysis, routinely pushing hardware limits for data-intensive workloads. His career spans university research roles in Brazil and Switzerland, industry positions developing numerical solvers and big-data pipelines, and teaching—revealing a rare mix of simulation science, parallel algorithm design, and applied ML. Colleagues know him for squeezing extra efficiency from GPUs and for turning complex scientific prototypes into operational systems.
12 years of coding experience
4 years of employment as a software developer
Mestrado, Engenharia Mecânica - Simulação Computacional, Mestrado, Engenharia Mecânica - Simulação Computacional at Universidade Federal de Santa Catarina
Doctor of Philosophy, High Performance Computing, Doctor of Philosophy, High Performance Computing at Universidade Federal do Paraná
Bacharelado, Engenharia de Software, Bacharelado, Engenharia de Software at Universidade de Brasília
Contributions:247 commits, 216 pushes, 7 branches in 1 year 6 months
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Jose Neto - HPC Researcher at Universidade Federal do Paraná