Technical Lead, Data and Graph Analytics, Sparse Linear Algebra and Iterative Solvers at NVIDIA at NVIDIA
Level: LEVEL 02 (12 mo pts: 140 pts)
Lifetime points: 145 pts
I develop cutting-edge software based on advanced applied mathematics, both continuous and discrete. I am a voracious researcher, always looking for new techniques and ideas to bring into my projects. Expert in CFD, Finite Element Methods, sparse linear iterative methods, PDE solvers, time integration methods, large scale data processing, data fusion, structured and unstructured data, parallel computing and distributed systems. New solutions for hard problems are the focus of my work. Currently managing the AmgX CUDA library at NVIDIA, which provides GPU accelerated sparse iterative methods for linear systems. We are adding eigensolvers, and enlarging the application domain of AMG to graph problems as well (fast pagerank).
Specialties: Applied Math, Optimization, Simulation, Semantic Web, Linked Data, Parallel computing, Finite Elements, Numerical Methods, Petroleum fluids thermodynamic behavior, linear and non-linear solvers for large systems of equations, Programming languages( C, C++, Java, Fortran (77,90,95), Python, Perl), shell scripting, Linux, Windows, AIX
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