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Subekshya Subedi

Geomatics Engineer | Backend Developer.

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Subekshya Portrait

About Me

I combine geospatial analysis with backend development to build practical and scalable spatial solutions. My stack includes Python (GeoPandas, Rasterio, NumPy), Django, ArcGIS, QGIS, and Google Earth Engine. I focus on turning spatial workflows into automated, deployable applications that make geospatial data more useful.

Experience

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Completed

Pasal.com Map Integration Intern

28.2096° N, 83.9856° E  ·  Pokhara, Nepal

  • Developed geospatial features: routing, geocoding, and spatial analysis tools.
  • Created interactive web maps with route paths and elevation info.
  • Designed custom polygon-based maps for chowk and tole areas.
  • Frontend mapping with Leaflet · server deployment with Docker.

🕑 Jan 2025 – Mar 2025  ·  3 months

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Completed

Naxa Backend Trainee

27.7172° N, 85.3240° E  ·  Kathmandu, Nepal

  • Developed and maintained backend services for GIS and WebGIS applications.
  • Worked with GeoJSON datasets in relational and spatial databases.
  • Implemented house number generation logic for large-scale datasets.
  • Debugged backend issues to improve API performance.

🕑 Jun 2025 – Dec 2025  ·  6 months

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● Live — Ongoing

Code Rush Fellow — Fellowship Program

27.7172° N, 85.3240° E  ·  Remote

  • Selected fellow in the competitive Code Rush Fellowship Program.
  • Building and shipping projects under mentorship with clean code practices.
  • Collaborating on open-source and product-focused challenges.
  • Developing skills in system design, code review, and agile workflows.

🕑 Feb 2026 – Present  ·  Ongoing

Projects

Smart Study Planner

Django React PostgreSQL

An intelligent study planning web application that helps students organize their schedules, track progress, and optimize learning sessions using a full-stack Django + React architecture backed by PostgreSQL.

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GeoJSON to Image Attacher

Python PyPI GeoJSON

A Python package published on PyPI that converts GeoJSON geometries into rendered map images and attaches them seamlessly to documents or pipelines — making spatial data instantly visual without heavy GIS tooling.

View on PyPI

Urban Heat Island Analysis

Remote Sensing Google Earth Engine Python

Final year project mapping and analyzing Urban Heat Island (UHI) effects using satellite imagery, land surface temperature data, and geospatial tools to identify heat-vulnerable zones and inform urban planning decisions.

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Skills

27.7172° N, 85.3240° E  · 

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GIS & Remote Sensing

QGIS ArcGIS Google Earth Engine Rasterio GeoPandas Leaflet.js PostGIS GeoJSON

28.2096° N, 83.9856° E  · 

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Development

Python Django React JavaScript HTML & CSS REST API NumPy Pandas

27.6588° N, 85.3247° E  · 

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Database

PostgreSQL PostGIS SQLite

27.7041° N, 85.3145° E  · 

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Deployment & Tools

Docker GitHub GitHub Pages Render Vercel Linux VS Code Postman

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