Doctoral Researcher at German Aerospace Center (DLR)
Gilching, Bavaria, Germany
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Summary
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Rockstar
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Top School
Guneet Mutreja is a Doctoral Researcher at the German Aerospace Center (DLR) with around a decade of experience applying AI to geospatial problems, currently specializing in un/self-supervised methods for classifying building roof forms. He pairs strong product and engineering experience from roles at Esri—where he contributed to the ArcGIS API for Python and produced deep-learning Jupyter samples—with prior analytics work at Tata, bridging research and production tooling. As an Earth Engine Expert and community builder across India, he promotes practical geospatial workflows to both computer science and geography audiences. His academic path spans a PhD in Information Technology, advanced data-science training at IIT Madras, and an MCA, reflecting a continuous focus on applied machine intelligence. Notably, his open-source contributions touch prominent repos like Esri/arcgis-python-api, demonstrating hands-on experience integrating deep learning (Mask R-CNN) into geospatial platforms. He is driven by the conviction that combining geospatial data with AI can tackle large-scale societal challenges and now advises on scientific strategy at Darukaa.Earth.
9 years of coding experience
6 years of employment as a software developer
High School Science, High School Science at Kamal Model School
Doctor of Philosophy - PhD Information Technology, Doctor of Philosophy - PhD Information Technology at Universität Osnabrück
Indian Institute of Technology Madras
Master of Computer Applications - MCA Computer Science, Master of Computer Applications - MCA Computer Science at Shanmugha Arts, Science, Technology & Reserch Academy (SASTRA), Thanjavur
Bachelors in Computer Application - BCA Computer Science, Bachelors in Computer Application - BCA Computer Science at Guru Gobind Singh Indraprastha University
Documentation and samples for ArcGIS API for Python
Role in this project:
Data Scientist
Contributions:35 reviews, 14 commits, 35 PRs in 1 year 7 months
Contributions summary:The user, Yongyau, made changes to an existing notebook within the repository, specifically related to multi-spectral support and the addition of Arcpy code. His contributions focused on building reconstruction utilizing MaskRCNN. The changes appear to involve data preparation and model training, likely related to image analysis and deep learning techniques within the ArcGIS API for Python. His work demonstrates expertise in utilizing and applying the API's deep learning tools.
Documentation and samples for ArcGIS API for Python
Contributions:119 pushes, 29 branches in 2 years 4 months
apidata-managementpythonarcgisarcgis-api
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