At DeepAffects we specialize in one of the most complex problem of multi speaker diarization and audio emotion using Deep Recurrent Convolutional Neural Networks for Speaker Embeddings.

Experience in designing systems for processing and storing(ETL) huge amounts of data using Spark, Mesos, Cassandra, job scheduling and coordination engines• Strong understanding of big data processing systems and architecture• Knowledge of data science theory, practices, tools and supporting languages• Extensive experience in design and development of distributed scalable systems architectures• Good knowledge of Data Structures, Algorithms and Aspect oriented programming.• Core strength in Java, Scala, Spark, Mesos, Cassandra, Elasticsearch, AspectJ, Spring