Summary
Juan Benjumea is a Software and IA Engineer with 11 years of experience at the intersection of seismology, geosciences, and machine learning, currently based in Strasbourg. He has led end-to-end seismic monitoring and analysis programs—operating permanent and portable networks, automating waveform processing, and integrating diverse historical and real-time data into robust databases. Juan combines deep domain expertise (moment tensor inversion, GMPEs, source parameter estimation) with practical software skills in Python, signal processing, Docker, and Linux to turn large, messy geophysical datasets into actionable insights. He has applied deep learning to acoustic and speech tasks in academic settings and built production-ready tools for microseismic monitoring and seismic-risk software in industry. Notably, his career began after a defining earthquake experience that motivated a lifelong focus on seismic data, and he brings both field experience (station deployment and maintenance) and algorithmic craftsmanship to multidisciplinary teams.
11 years of coding experience
21 years of employment as a software developer
Civil Engineer, Civil Engineering, Civil Engineer, Civil Engineering at Universidad del Valle (CO)
French, English, Spanish