This website aims at presenting a few examples of automated applications that can be implemented dynamically on any architechtural framework on the web with the powerful tools of Data Engineering and Machine Learning.

These proposed solutions provide a handy demonstration of critical-thinking and problem-solving skills involved as well as the rigour and high standard of code refactoring/unit-testing required throughout the entire engineering process in order to ensure robustness, scalability, efficiency and innovation. The projects are presented via the links provided.

A front end interface was specially designed to give the client visiting this dedicated platorm a sense of abstraction and understanding of the core scientific and coding skills needed to efficiently interconnect various networks while optimising their key hyper-parameters during an automated batch processing.

The important need for secure gateways and permissions, handling of data in batch, extraction of key metrics and scalable Data Warehouse storage are also addressed in these demonstrations.