Sumant Tyagi is a Product Engineer in GeoAI with six years of experience, currently advancing data science R&D at Esri from New Delhi. He applies deep learning and foundational models to spatial problems—detection, segmentation, and classification—across satellite, drone, camera-trap, aerial and oriented imagery using RGB, multi-band data and NeRFs for richer 3D representations. With an MTech in Geoinformatics from IIT Bombay and a BE in Civil Engineering, he blends rigorous academic grounding with practical experience in valuation and field monitoring earlier in his career. Sumant is exploring LLMs to automate geospatial feature extraction and interpretation, bringing research-forward methods into product-ready workflows. Notably, he bridges tabular and image modalities in spatial AI, focusing on scalable, real-world solutions for both tiny and large feature detection.
6 years of coding experience
Bachelor of Engineering - BE, Civil Engineering, 8.80, Bachelor of Engineering - BE, Civil Engineering, 8.80 at R. V. College of Engineering, Bangalore
Indian Institute of Technology Bombay
HSC and SSLC, HSC and SSLC at Central Board of Secondary Education
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