Summary
Hugo Bustamante is an AI Scientist and Industrial Engineer based in Concepción, Chile, with over 8 years applying AI, ML, optimization and advanced GIS to operational forestry problems. He designs and deploys end-to-end systems—AI agents, predictive models, optimization pipelines and cloud architectures—using Python, LangGraph/LangChain, FastAPI, PostgreSQL, Docker and Google Cloud. His project portfolio includes production tools like LAMdA (QGIS + Fortran), ForestGantt (optimization + simulation), Skyline/Alpine (geospatial algorithms with Bayesian optimization) and Optigarra (neural nets coupled with MIP), demonstrating a rare blend of mathematical modeling and software engineering. He has built computer vision solutions with transfer learning for logistics and optimization models for wildfire resource deployment, achieving practical, high-impact results (e.g., 90% accuracy in truck load recognition). Notably, he implements AI agents respecting the Model Context Protocol and operationalizes them for maintenance and supply domains, bridging research prototypes to scalable operational services. His background in academic research and production engineering enables him to convert complex spatial and combinatorial problems into robust, deployable systems.
8 years of coding experience
6 years of employment as a software developer
Título y Grado Académico, Título y Grado Académico at Universidad de Concepción
Diplomatura, Analista desarrollador de Aplicaciones de Software., Diplomatura, Analista desarrollador de Aplicaciones de Software. at Duoc UC
Diplomatura, Ciencia de Datos - Data Science, Diplomatura, Ciencia de Datos - Data Science at Universidad del Desarrollo
English, English