I'm a Software Developer with extensive experience modeling, designing, developing, testing and supporting GIS based Enterprise Applications. I'm an active and knowledgeable worker (probably a learner forever) in maps, GIS, mapping, spatial data collecting, management and processing, Remote Sensing, programming skills, cartography and environmental science. I enjoy developing cool stuff to represent and analyze spatial-temporal geographic information and environmental phenomenon. I have about 9 years experience in the following industries.

✳️ Oil and Energy Industry - I contributed to the development of E & P software solutions to optimize workflows, digitize processes, improve collaboration and revolutionize well & reservoir management.
✳️ Geospatial Industry - I also contributed to the development and administration of a well-crafted, and easily maintainable medium to large scale Enterprise GIS Applications especially for land Administration and Counter Terrorism Surveillance Monitoring.

✅My Core Professional Skills include:
✔️Backend languages --> C#.Net Platform (ASP.Net Core, ASP.Net Web API, SignalR, RPC, GraphQL) and Python (Flask and Django)
✔️Frontend Languages –>Vue.js, JavaScript, Typescript, HTML 5, CSS 3 (Tailwind, Twitter Bootstrap, Veutify)
✔️Spatial Databases –-> PostGIS, Spatial Data (MSSQL Server), ArcGIS Server/ArcSDE, Oracle Spatial, Spatialite
✔️ORM Frameworks –-> Dapper, EF Core, & Fluent Nhibernate
✔️ Web Security & CI/CD
✔️Caching (Redis/Memcache)
✔️Web GIS Frameworks--> OpenLayers, ArcGIS Server, Google Map API, MapBox, Map Server, Geoserver, Leaflet, Google Earth (Earth Engine) and GeoExt
✔️Desktop GIS Tools --> QGIS (PyGIS) and Arc GIS (ArcPy)
✔️Version Control --> (Git/Github, Git/Gitlab), Tortoise SVN

✅Other Specialties Include:
✔️Working Experience with DevOps (Azure DeveOps, AWS DevOps, & Containerization ( Docker, Kubernetes, & Jenkins))
✔️Working Experience With Waterfall & Agile Projects (Scrums)
✔️Training and Capacity Building
✔️Administration of Enterprise Geographic Information Systems
✔️Land Information Systems
✔️Production Geology
✔️Linux Fundamentals
✔️Sound knowledge of Computer Science