Project Summary

Sleepiz processes a lot of sleep diagnostics data both in realtime and through batch processing. This requires an infrastructure that’s adaptable to handle more devices. This model should be decoupled with other integrations, and help reduce the cost per device for the processing of data.

This project aims to redesign realtime and batch data processing architectures to handle more devices, reduce processing time and increase efficiency.

Qualifications

Preferred Bachelors / Masters students from the relevant field.

Key skills

Knowledge and experience in the following

- Python

- ML Basics

- Cassandra

- Database

-SQL Database.