I will build high performance geospatial apis and backends

I am a Geospatial Software Engineer with a degree in Geoinformatics and a specialized focus on bridging spatial data science with modern cloud infrastructure. I build scalable, cloud-native applications that transform heavy spatial datasets into fast, automated, and interactive enterprise solutions

Currently working as a GIS Backend Engineer, I specialize in eliminating manual GIS bottlenecks by engineering high-performance APIs and automated data pipelines that process massive spatial records in minutes rather than days. Whether it is automating land valuations for thousands of properties, deploying disaster-risk machine learning models, or building 3D WebGIS dashboards, I deliver enterprise-grade architecture

Core Expertise:

• Cloud-Native Backends & APIs
• Enterprise Data Pipelines
• Custom WebGIS & Dashboards
• GeoAI & Hazard Monitoring
• Desktop GIS Automation

Technical Arsenal:

• Backend & Cloud Infrastructure: Python, FastAPI, Node.js, AWS (EC2, S3, Lambda), Kubernetes, Docker, CI/CD, Redis
• Geospatial & Data Science: PostGIS, GDAL, Google Earth Engine, OSRM, Pandas, Scikit-learn, SQL
• Frontend & Visualization: Next.js, React, TypeScript, Mapbox GL JS, Plotly Dash, Tableau, Recharts