Every pixel tells a story. I like listening to the ones most people overlook.
Curious about the planet and the data it leaves behind. I enjoy building AI systems that extract meaningful patterns from satellite imagery and geospatial data to tackle challenges in agriculture, climate, disaster resilience, environmental conservation, urban growth, forests, water, biodiversity, infrastructure, and sustainable development. Always learning where machine learning meets Earth observation.
Recent
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Language Meets Remote Sensing: Applying VLM to Land Cover Segmentation
In this Blog, I will discuss the LSeg (Language-driven Semantic Segmentation) paper. In recent years, semantic segmentation has gained significant traction in computer vision. Incorporating natural la...
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Prithvi-EO 2.0 : A versatile Multi Temporal Earth Geospatial Foundation model
In this blog, I will discuss the research paper Prithvi-EO 2.0: A Versatile Multi-Temporal Earth Geospatial Foundation Model. In recent years, a lot of geospatial foundation models have been introduce...
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Welcome | Computer Vision & Geospatial Data Science
Welcome! This blog serves as an open notebook for my work and exploration across computer vision, geospatial analysis, and applied machine learning. Geospatial AI moves fast. Between paper releases, m...