My path has taken me from radar remote-sensing research and ground-deformation analysis to SAR-powered hurricane and wildfire response, and environmental and water analytics. Today at NestAI, I build geospatial data infrastructure for real-world systems, working with tools including Python, GDAL, pgSTAC, Apache Polaris, Apache Iceberg, OGC APIs, and TiTiler. Across these domains, I care about making data pipelines interoperable, reproducible, and reliable enough to support real decisions.
I am curious by nature, ambitious about the problems I take on, and energized by learning what emerging technology can make possible. I enjoy moving from an unfamiliar challenge to a working solution—keeping up with new tools while staying grounded in sound engineering and practical outcomes. My goal is to keep building at the intersection of geospatial engineering, remote sensing, and AI, creating technology that helps people better understand and respond to a changing world.
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Master of Engineering in Remote Sensing and GIS, 2019
Indian Institute of Remote Sensing (ISRO), India
Post Graduate Diploma in Biomedical Instrumentation and Informatics, 2017
CDAC, India
Bachelor of Engineering in Electronics and Communication, 2016
Rajasthan Technical University, India
My professional work experience
Working as a GIS Data Engineer at NestAI, building geospatial data pipelines and catalogue and serving infrastructure for Physical AI and Earth Observation workflows. Current tools include pgSTAC, Apache Polaris, Apache Iceberg, OGC APIs, TiTiler and GDAL.
Designed and maintained production-grade Python workflows and machine learning solutions for environmental, water, and climate analytics. Integrated multi-source geospatial and Earth observation datasets into reproducible, decision-ready products for major international initiatives including OASIS (Horizon Europe) and AQUATIME (European Space Agency), with emphasis on scientific software engineering, data quality, validation, and traceability. (Python, SQL, GeoPandas, GDAL, Rasterio, MLflow, Git, Linux).
SAR data processing, geospatial analytics, insight product development, and environmental monitoring using remote sensing. Workflow automation, change detection, trend analysis, and statistical modeling for crisis response. Visual reporting and spatial outputs for decision support. (Python, SAR, QGIS, ArcGIS, GDAL, Power BI).
Academic foundation and professional qualifications
Academic degrees, professional courses, certifications, hackathons, and conference participation
An interdisciplinary learning path spanning remote sensing, data science, version control, and project management. These certified courses expand my technical fluency, coding confidence, and team-oriented delivery practices—shaping a well-rounded professional profile.
A showcase of workshops and hackathons that amplified my expertise in LiDAR, machine learning, geospatial intelligence, and entrepreneurship—focusing on real-world data challenges and interdisciplinary teamwork in forestry and environmental domains.
Capabilities built through cross-domain work in geospatial analytics, AI, and scientific software delivery
Selected projects spanning Earth observation, geospatial intelligence, and AI-enabled analytics
Peer-reviewed and conference contributions in remote sensing, geospatial analytics, and Earth observation
Recent milestones, publications, and professional highlights
Stay updated with my latest professional journey, project announcements, and insights from the world of geospatial analytics and remote sensing.
Explore my professional foundation and past accomplishments that shaped my expertise in geospatial analytics, remote sensing, and emerging technologies. A comprehensive look at completed courses, hackathons, publications, and skill development milestones.
Open to collaborations, consulting opportunities, and research conversations