Responsibilities:• Development of Event-driven architecture for the consumption of logs.• Assist in the development and maintenance 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).• Improving the code quality of machine learning solutions.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.