Mario Cano is a Senior Software Engineer based in Medellín with nine years of experience building full-stack web applications and AI-driven forecasting platforms. He has progressed from data science research on environmental forecasting to leading frontend and full-stack development for AI products in finance and demand planning, now contributing at EPAM Systems. Mario combines practical hydrology and environmental data expertise with strong Django/React and front-end skills, enabling robust integration between real-time backends and interactive UIs. Colleagues value his focus on high-quality coding standards and his ability to translate complex forecasting models into production-ready software. An understated strength is his domain fluency in environmental and time-series data, which informs more reliable predictive systems.
9 years of coding experience
8 years of employment as a software developer
Ingeniero Ambiental, Medio ambiente y naturaleza, Ingeniero Ambiental, Medio ambiente y naturaleza at Universidad Nacional de Colombia
Consultas Plots y Reportes (CPR): Repositorio con funciones y clases para la realización de: Consultas, plots y reportes de las estaciones y los modelos que administra hidrología
Contributions:3 PRs, 116 pushes, 14 branches in 1 year
Contributions:76 PRs, 56 pushes, 19 branches in 16 days
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Mario Cano - Senior Software Engineer at EPAM Systems