Alvaro Sierra-altamiranda is a senior operations research scientist with a Ph.D. in Industrial Engineering and eight years of experience applying multiobjective optimization and machine learning to real-world supply chain and conservation problems. He has delivered production-grade optimization solutions at Amazon Robotics and Zapata AI and now advances supply chain capabilities at NVIDIA using their cuOpt solver. Comfortable implementing mixed-integer linear and nonlinear models in Julia and C++ with commercial solvers, he pairs deep theoretical research with pragmatic engineering to tackle high-difficulty problems. Based in the San Francisco Bay Area, he brings cross-industry experience—from environmental planning at USGS to high-throughput robotics and AI—and a knack for improving algorithms by integrating ML insights.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Industrial Engineering, Doctor of Philosophy - PhD, Industrial Engineering at University of South Florida
Master of Science - MS, Industrial Engineering, Master of Science - MS, Industrial Engineering at Universidad del Norte
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Alvaro Sierra-altamiranda - Sr. DS - Operations Research