Shai Ben Michael

I implemented core GIS processes , Geocoding- converting unstructured text into coordinates. Raster server - raster tiles retrieval, resampling tiles to merge the map up into a pyramid of lower resolution tiles to enable retrieval from higher zoom levels. I used PostgreSQL GIS extensions to implement Routing in order to retrieve optimal routes in optimal time given spatial constraints.

I implemented back end platform to monitor control and coordinate robots fleets using AWS resources

I used AWS to host web applications, to coordinate and monitor devices (IOT) and to manage relational DBs, I used various resources such as EC2, AWS IoT Core, RDS and Elastic Beanstalk to facilitate the deployment, load balancing, and scaling. I conducted benchmarks on applications in production to evaluate performance vs cost to optimize resources utilization.

I used PostgreSQL to store, index and retrieve spatial data using GIS extensions. I implemented advanced SQL scripts to define spatial criterias on the data and I optimized the queries in terms of time performance and redundancy.

I used Python to develop both web and desktop applications

- I used FastAPI to implement Asynchronous REST api for intensive DB requests
- I used QT for Python to develop desktop applications and to implement rich UI
- I implemented applicative protocols over Microcontrollers’ UART over serial connections.

- I used PyTorch to build and train deep learning architectures including CNNs and Transformers, I implemented complete training loops on real-world data