Geospatial Data Scientist working end to end — computer vision on drone imagery and LiDAR (including a detection model I personally trained and deployed to production on AWS SageMaker), cloud pipelines and infrastructure-as-code, and the AI agents that tie it together — from field survey to production platforms protecting critical utility infrastructure.
I work at the intersection of geospatial engineering, applied AI, and cloud data platform engineering — currently as a Data Scientist at Florida Power & Light, technical lead across their AI-based infrastructure inspection program, building the data pipelines and GIS applications behind it, plus a computer vision model I personally trained and deployed to production. My background started in the field as a Geomatics Engineer in Nepal, then sharpened through flood-hazard research at Florida Atlantic University, which led to a peer-reviewed publication and a co-authorship on PyWMP, an open-source watershed modeling framework. Outside of work I build open-source geospatial AI tools — see Featured Builds below.
Open-source contributions built outside of my employment, focused on hazard-resilient geospatial AI and critical infrastructure. Most ship with a live demo; nothing here requires an API key to try.
The Experience section above covers the program-level work — this is a few platform-layer components that don't fit neatly into a resume bullet.
AWS CDK component framework with enterprise naming, tagging, and deployment abstractions for ML and app workloads.
ONNX-based object detection package for utility equipment with COCO JSON output and optional visualization.
PostgreSQL schema migration CLI with source/target connection separation, dry runs, and preflight checks.
Reusable package for API extraction, taxonomy joins, metadata patching, and downstream publishing automation.
Most of my professional work is confidential to the organizations I've supported — publications below are what I can share in full.
MSc, Geosciences — GIS Concentration · Florida Atlantic University · 2023–2024 · GPA 4.0/4.0
BSc, Geomatics Engineering · Tribhuvan University, Nepal · 2016–2021 · GPA 3.64/4.0
NASA ARSET Certifications (12) — applied remote sensing training across climate risk assessment & projection, disaster & building-infrastructure risk modeling, wildfire and watershed impacts, ecosystem services, air quality (geostationary satellites & environmental justice), water quality (inland lakes & SeaDAS), soil moisture/drought, flood monitoring & modeling, and urban heat vulnerability.
Esri Training Certifications (8) — GIS Basics, Cartography, Spatial Data Science, Imagery Analysis, Spatial Analysis, GIS for Climate Action, GIS/BIM integration for AEC, and deep-learning object classification in ArcGIS Pro.
Open to Data Science, GIS/Geospatial Engineering, and Data/Platform roles. Based in West Palm Beach, FL.