Arslan Ali

Responsibilities: • Development of Event-driven architecture for consumption of logs. • Assist in the development of distributed, scalable MaaS (Model as a service) solution. • Migration of existing machine learning solutions to new machine learning platform software. • Integrating MLflow with machine learning solutions (NLP). Tech Stack: - Java, Spring Boot, PostgreSql, Azure Blob Storage, RabbitMQ, Kubernetes, MLflow, JUnit, AssertJ, SonarQube, Python, Keras, Weka, AzureDevOps

Projects: • Preprocessing real time camera data streams. • Offline stay point detection. Role: • Assistance in the research and development of prototypes. • Development Tools: Odysseus, PQL, Python

• Distributed Systems and Middleware. • Data Streams and Complex Event Processing. • Machine Learning. Master Thesis: Evaluation of machine learning methods for sensor-based basic activity recognition in dairy cows.