Summary
Alfonso Reyes is a VP of Artificial Intelligence Engineering specializing in applying data science and ML to petroleum production, with nine years of focused experience in energy-focused AI roles and a long career in production automation and well/reservoir surveillance. He blends hands-on petroleum engineering (Prosper, GAP, MBAL, Eclipse, OFM) with software practices—scripting, virtualization, containerization—and contributes to the R #rstats ecosystem. At companies from Shell and Halliburton to PETRONAS and startups, he has led digital transformation programs, gas-lift optimization with embedded chips, and real-time subsea/onshore data acquisition projects. He founded and scaled technology efforts at Oil Gains Analytics and served as CTO driving big-data techniques into production engineering workflows. Based in Spring, Texas, he pairs practical field systems experience (FAT/SIT, remote well control) with modern AI deployment patterns, making him unusually fluent at the intersection of downhole hardware and cloud-native analytics. An MIT-trained fiberoptics specialist with deep domain pedigree, he is as comfortable commissioning subsea control systems as he is shipping reproducible ML pipelines.
8 years of coding experience
25 years of employment as a software developer
Technician Electronics, Technician Electronics at Metropolitan Technology Institute
Fiberoptics, Fiberoptics at Massachusetts Institute of Technology
B.Sc. Petroleum Engineering, B.Sc. Petroleum Engineering at National University of Engineering (UNI)
English, Spanish, Portuguese