
Over the years, I have specialized in developing tools and pipelines to efficiently manage large volumes of vector data for machine learning and mapping projects. My work spans geospatial data analysis, visualization, cloud infrastructure, DevOps, and full-stack development.
As a cloud engineer, I design and deploy scalable systems using Kubernetes for platforms like OpenHistoricalMap, OSM-US, and Palestine Open Maps. I also integrate machine learning models into APIs, streamlining data processing for enhanced accuracy and efficiency.

Programing languages
- JavaScript
- Java
- Python
Devops
- Docker
- Kubernetes
- GitHub
Cloud Plataforms
- Amazon Web Services
- Google Cloud Platform
Frontend frameworks
- React
- HTML5
- CSS3
- Next
- MapboxGL
- Leaflet
- OpenLayer
- Redux
Databases
- Postgresql
- MongoDB
Backend frameworks
- NodeJS
- Hapi.js
- Express
Data processing
- QGIS
- ArcGIS
- Phyton Scripts
- NodeJS
Mapping
- OpenStreetMap