Vaibhav Raj is a GeoAI and remote sensing specialist with 8+ years of experience building and integrating deep learning into commercial GIS products and workflows. Based in Abu Dhabi, he has driven product-grade Python development, feature design, and terabyte-scale training-data pipelines at Esri while contributing to ArcGIS notebooks and demoing solutions to global audiences. He co-founded OpenGeoSky to deliver smart-city and forestry POCs and has supported pre-sales and solutions engineering across defense, oil & gas, agriculture, and government sectors. Vaibhav’s work spans 3D GIS, point cloud classification (notably refining PointCNN sample notebooks in the ArcGIS Python API), NLP, and remote sensing—often improving model accuracy and processing speed by substantial margins. Comfortable at the intersection of research and product, he pairs hands-on prototyping with UX input and live technical evangelism. An EO, 3D & AI enthusiast, he quietly combines academic training from ITC/ISRO with a knack for making complex satellite and LiDAR workflows production-ready.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Environmental Engineering (Civil Allied), First Division, Bachelor of Technology - BTech, Environmental Engineering (Civil Allied), First Division at Netaji Subhas University of Technology
JEP - Master of Science - MS, Geo-information Science and Earth Observation, CPI: 70 & Percentage: 75.71 %, JEP - Master of Science - MS, Geo-information Science and Earth Observation, CPI: 70 & Percentage: 75.71 % at Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO)
Master of Science - MS, Geo-information Science and Earth Observation, CPI: 70 & Percentage: 75.71 %, Master of Science - MS, Geo-information Science and Earth Observation, CPI: 70 & Percentage: 75.71 % at Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente
Documentation and samples for ArcGIS API for Python
Role in this project:
Data Scientist
Contributions:18 reviews, 55 commits, 33 PRs in 1 year 3 months
Contributions summary:Vaibhav's commits primarily involve updating and modifying a notebook related to point cloud classification using the PointCNN model. These changes include updates to the sample notebooks, incorporation of recent suggestions, and addition of a GIF for mask_class. The user is focused on refining the presentation and explanatory content of the notebook, related to using point cloud analysis.
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