Fortino Garcia
Summary
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SeniorFortino Garcia is a Principal Software Engineer and NSF-postdoc-trained applied mathematician with eight years of experience building high-performance scientific software and optimization tools for industry and research. He blends deep expertise in nonlinear optimization, optimal control, wave propagation, and quantum-control with hands-on C++, Julia, MPI/OpenMP, and HPC work to deliver practical algorithms that scale. At Cadence he applies ML and optimization to automated PCB placement, and previously developed Juqbox.jl in collaboration with Lawrence Livermore to recover control signals for quantum gates. His PhD work on Helmholtz and finite element methods informs robust solvers and novel optimizers—one of which improved convergence for contact problems in PolyFEM. Comfortable leading teams and mentoring students, he pairs academic rigor with product-focused engineering to move cutting-edge math into deployable systems.
8 years of coding experience
Github Skills (4)
closed9
julia8
quantum-computing7
randomized-algorithm1
Programming languages (3)
Github contributions (5)
path1380/Homework_4_Grp_2
Feb 2018 - Feb 2018
Contributions:38 pushes, 3 branches in 9 days
path1380/Homework3_Grp_2
Feb 2018 - Feb 2018
Contributions:19 pushes, 1 branch, 2 comments in 8 days
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