curriculum vitae

Summary CV. Download the full PDF here.

Education

2019 – 2023

Ph.D. in Earth Observation & Deep Learning

Academy of Scientific and Innovative Research (AcSIR), India · bi-nationally supervised with German Aerospace Center (DLR), Germany

Dissertation: deep-learning frameworks for Himalayan glacier and glacial-lake mapping, GLOF risk modeling, and long-term glacier-velocity estimation.

Positions

2024 – present

Postdoctoral Research Associate

University of Wisconsin–Madison · Tellman Lab & Schneider Lab

GeoAI, geospatial foundation models, NISAR polarimetric pipelines, NASA-funded urban flood mapping. Course development for AI for Sustainability and AI for Earth Observation.

2024

Postdoctoral Research Associate

Social-Pixel Lab, University of Arizona

Glacial-lake segmentation benchmarks (GLB), foundation-model fine-tuning, large HPC workflows on the axolotl GPU server.

2023 – 2024

Postdoctoral Researcher

The Ohio State University · Byrd Polar & Climate Research Center

Earth-observation methods for global mapping of natural (gold) hydrogen sites using multisource remote sensing and deep learning. Produced the first global dataset of potential hydrogen sites.

Awards & Honors

2025

Young Scientist Travel Award ($1,000)

Debris-Cover Glacier Workshop, ISTA Austria

2024

Professional Development / Travel Award ($700)

Office of Postdoctoral Affairs, OSU USA

2019

DAAD Bi-nationally Supervised Doctoral Degree Fellowship (~€24,000)

German Academic Exchange Service

2019

Best Poster Award (Third)

5th International YES Congress, Berlin

2018

INSPIRE Fellowship (~$13,000)

Department of Science & Technology, India

Funding (selected)

2025

Google Satellite Embeddings Dataset Small Grant

Co-recipient · benchmarking foundation models for EO

ongoing

Co-PI on NSF-funded project

Earth observation & flood-risk research

Skills

Methods
Computer vision · Semantic & instance segmentation · Object detection · Pixel regression · Self-supervised learning · Foundation models & transformers · Multimodal LLMs · SAR polarimetry (Freeman–Durden, Cloude–Pottier H/α) · Pixel-wise sub-pixel fraction regression.
Tools
PyTorch · PyTorch Lightning · TerraTorch · TerraMind · Prithvi · pangaea-bench · Google Earth Engine · rasterio / xarray / GDAL · HuggingFace · HTCondor (CHTC) · Slurm · Docker.
Domains
Flood inundation mapping · Glaciers & glacial lakes · Sea ice · Calving fronts · Land use / land cover · Hydrology · GLOF risk · Urban hydrology.