GeoAI Engineer with experience in geospatial AI, remote sensing, and deep learning-based spatial analysis. I work on building AI-powered geospatial systems using satellite imagery, GIS workflows, and backend deployment technologies.
Currently working at WhereSoft Technologies Pvt Ltd on object detection, segmentation, and spatial AI pipelines using high-resolution aerial and satellite imagery.
My work includes:
- Deep learning model training and deployment for geospatial applications
- Object detection and segmentation using satellite imagery
- FastAPI backend integration for AI model serving
- GIS workflow automation using Python and ArcPy
- Spatial analytics using ArcGIS Pro, QGIS, PostGIS, and GDAL
- AI-assisted GIS systems using LLMs and vector databases
I am particularly interested in GeoAI infrastructure, spatial intelligence systems, remote sensing automation, and AI-powered GIS workflows.
July 2025 – Present
- Training and deploying deep learning models for geospatial applications
- Working on object detection and segmentation using aerial and satellite imagery
- Building FastAPI backend services for AI model deployment
- Automating GIS workflows using ArcPy, GDAL, Rasterio, and Python
- Developing AI-assisted GIS systems using LLMs, embeddings, and vector databases
- Preparing technical documentation for GeoAI tools and workflows
March 2024 – June 2025
- Developed GeoAI tools for flood analysis, wildfire assessment, and crop yield prediction
- Worked on offline deployment of object detection systems for defense projects
- Trained deep learning models for satellite imagery analysis
- Built custom GIS tools using PyQt5, QGIS, and Django
- Developed georeferencing and mosaicking tools for GIS workflows
- Developed a QGIS plugin for least-cost route analysis
- GeoAI
- Remote Sensing
- Computer Vision for Satellite Imagery
- Spatial Machine Learning
- GIS Automation
- Object Detection and Segmentation
- Spatial Analytics
- Geospatial Backend Systems
- AI-assisted GIS Applications
| Project | Description | Tech |
|---|---|---|
| LabelSense | Desktop annotation platform for creating object detection datasets for computer vision and GeoAI workflows | Python OpenCV YOLO |
| GeoAI Complaint System | Full-stack geospatial complaint management platform with AI-assisted spatial analysis and interactive GIS workflows | FastAPI GeoAI PostGIS |
Machine learning-based landslide susceptibility analysis using Random Forest and SVM algorithms.
Tech: ArcGIS Pro, Google Earth Engine, Machine Learning
Facade greening analysis and urban thermal comfort assessment using ENVI-Met.
Tech: ENVI-Met, ArcGIS Pro
- Winner — Geo Innovation Challenge for Sustainable Nation 2024
- Outstanding Intern Award from NRSC (ISRO)
- IIT Tirupati Chanakya Postgraduate Fellow
- Finalist — ESRI India Young Scholar Program
- ESRI MOOC — Spatial Data Science: The New Frontier in Analytics
- Career Essentials in Generative AI by Microsoft and LinkedIn
- Satellite Data for Air Quality Environmental Justice and Equity Applications
- Crop Mapping using SAR and Optical Remote Sensing
I share GeoAI tutorials, remote sensing workflows, GIS development content, and geospatial AI experiments on YouTube.
- YouTube: https://youtube.com/@spatiaa
- Portfolio: https://www.rahimbiswas.in
Building AI-powered geospatial systems and spatial intelligence solutions.