Comprehensive IoT platform to collect, store, display and analyze real-time data from connected sensors. The analytical process uses advanced machine learning techniques to extract appliance-level information.
Java, Python, Linux, Machine Learning, IoT, Cassandra, Elasticsearch, MQTT, RabbitMQ, PostgreSQL, AWS, Microservices, distributed architectures, Prometheus, Grafana, Graylog, Ansible, Terraform, Gitlab, RESTful APIs.
Scrum with 2-week iterations, planning meetings and estimations, retrospectives, milestones demo, burn-down charts, velocity tracking, ticket cycle-time monitoring, push deploys – continuous delivery, load and stress test.