Summary
Carlos M is a Senior Long Range Engineer with 11 years of hands-on experience applying optimization, scheduling, and data science to mine planning and operations. He blends traditional mining engineering expertise—LOM/RLOM development, pit optimization, haulage and spoil design—with production ML/AI skills cultivated through Udacity nanodegrees and applied roles deploying models in cloud environments. At Nevada Gold Mines he leads multi-element revenue cutoff modeling and lifecycle economics while previously building production-grade analytics and scheduling systems at Teck that used MILP, dynamic programming and queuing models. A pragmatic problem-solver and Kaggle enthusiast, he routinely translates massive operational datasets into automated tools that improve forecasting, blending and fleet utilization. Based in Battle Mountain, Nevada, he is as comfortable in the pit and survey room as he is writing Python/VB discrete optimization code to squeeze more value from complex haulage networks. Unusually, he combines deep domain knowledge with deployed ML experience—empowering machines to optimize decisions that used to rely solely on engineering judgment.
11 years of coding experience
5 years of employment as a software developer
Machine Learning Engineer - Nanodegree Program, Machine Learning, Machine Learning Engineer - Nanodegree Program, Machine Learning at Udacity
Bachelor of Science (B.Sc.), Mining and Mineral Engineering, Bachelor of Science (B.Sc.), Mining and Mineral Engineering at Universidad de La Serena
English, Spanish