Summary
Venkanna Guthula is a PhD fellow at the University of Copenhagen specializing in machine learning for Earth observation, bringing nine years of experience building geospatial and remote sensing solutions. He has applied deep learning and image-processing pipelines to real-world problems—from animal detection and corridor mapping at the Wildlife Institute of India to production EO analytics at Cropin—bridging research rigor with operational impact. His background includes hands-on OpenStreetMap field mapping and validation at Mapbox, which informs his practical approach to data quality and large-scale geodata workflows. Based in Copenhagen, he combines advanced academic training in geoinformatics with pragmatic software and Python engineering skills, and often works at the intersection of satellite imagery, ML models, and cloud-scale EO platforms. Notably, he pairs field-level mapping experience with algorithmic expertise, enabling solutions that align in-situ reality with remote sensing inference.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Geo-Informatics, Bachelor's degree, Geo-Informatics at Andhra University
Master's degree, Geoinformation Science and Earth Observation with Specialisation in Geoinformatics, Master's degree, Geoinformation Science and Earth Observation with Specialisation in Geoinformatics at Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO)
Master's degree, Geo-information Science and Earth Observation with Specialisation in Geoinformatics, Master's degree, Geo-information Science and Earth Observation with Specialisation in Geoinformatics at Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Copenhagen (Københavns Universitet)
Diploma, Civil Engineering, Diploma, Civil Engineering at S.M.V.M Polytechnic
English, Telugu, Hindi