ENLYZE
Daniel Roussel is a Backend Software Engineer at ENLYZE GmbH. Daniel specializes in developing backend services using Python, Django, FastAPI, and PostgreSQL. Daniel is also skilled in data modeling and integration into customers' systems. In the past, Daniel has worked on firmware development, realtime sensor data processing, and software architecture. Daniel has a Master of Science in Computer Engineering from RWTH Aachen University and a Bachelor of Science in the same field.
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ENLYZE
ENLYZE considers industrial power consumption as a universal indicator for predicting the condition of machinery, equipment and manufactured product quality. This approach enables us to realize Predictive Maintenance and Predictive Quality Use Cases from the specially developed current sensor "FLUX". Thus, we create the first universaland scalable implementation of predictive maintenance in the heterogeneous machinery of the manufacturing industry. The FLUX is currently patented and features a non-invasive multiphase power cable measurement methodology (no electrician required for installation). The high-frequency recorded data is then analyzed in the cloud using proprietary AI models.