Summary
Oscar Correa is an AI/ML leader and researcher with a PhD and M.Sc. from the University of Melbourne and over a decade building applied machine learning systems across industry and academia. He has blended deep research in spatial databases, graph theory and geometric deep learning with practical deployments—most notably developing an AI early-warning system to forecast bridge scour for ARUP. As a former lecturer and tutor in database systems, algorithms and machine learning, he brings strong foundations in optimization, query processing and software engineering to data-driven projects. He has published in top venues like ACM SIGSPATIAL, with one paper selected for an ACM TSAS special issue, showing his work bridges theory and impact. Based in Quito, Ecuador, he now leads AI/ML at EXIT83 Consulting and has a track record of turning niche geospatial and IoT research into operational predictive models. A less obvious strength is his end-to-end fluency from low-level algorithm design to hyperparameter optimization and production software implementation.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer Software Engineering, 93/100, Bachelor of Engineering (B.E.), Computer Software Engineering, 93/100 at Universidad de las Fuerzas Armadas - ESPE
The University of Melbourne
English, Spanish