🔭 I’m currently working on ...
Geoinformation & Remote Sensing 🛰️
Python developer 🐍
Amazon Web Services Cloud 🌩️ (AWS)
- Streamlit, Flask, API REST, graphQL.
- Virtual env. , Pip. JupyterLab.
- Numpy, Pandas, Shapely, Geopandas, Rasterio, Rio-tiler, Pillow, PyTorch, GeeMap, Scipy, scikit-learn, scikit-image, Folium, boto3, psycopg2, mercantile, requests, pySTACK, and so on.....
- SageMaker
- AWS Lambda Functions (Python3, Node.js).
- RDS (Postgis)
- S3
- DynamoDB
- Serverless Application Model(AWS SAM).
- SQS, SNS
- API Gateway.
- Docker, ECR, ECS, Fargate.
- IAM, CloudWatch.
- DOCKER
- GDAL
- GEOSERVER
- Github
- JIRA
- Microservices
- Google Earth Engine (Python & Node.js)
- Qgis, ArcGis, SNAP, GRASS, SAGA, Agisoft Photoscan, AutoCAD.
- Sentinel 2, Landsat(5-9), Sentinel 1 (SAR), Planet Scope, CBERS , MODIS, SAOCOM (SAR) , Sentinel 3, etc...
- GlobalVis: Scalable satellite images server. I built and currently maintain a system to deliver Satellite images (Sentinel 2, Landsat 8 & Landsat 9 ) using AWS Lambda Function and AWS API Gateway.
- VectorTile Server: Scalable vector tile server. I build and currently maintain a system to serve Vector layers (in a Vectortile format), using AWS Fargate, AWS ApiGateWay & AWS SWF.
- Thumbnails generator: Scalable serverless thumbnails generator (from satellite images) using AWS ApiGateway & AWS Lambda Function (Proxy integration)
- Reports: Charts and Graphics serverless generator based on information from Satellite images, using AWS Lambda Function, AWS ApiGateway & AWS Simple Workflow Feature.
- Dashboards: Serverless Dashboard service (Data Analysis) using Python Dash – Plottly, AWS Fargate & AWS SWF.
