Teams at ETH juniors

Develop and maintain scalable Python backend services (FastAPI or Django), deploy and manage applications on Kubernetes, optimize CI/CD pipelines, integrate databases and messaging systems, and use AI tools to improve development efficiency and code quality.

Analyze existing Java Swing UI masks, rebuild ~300 masks using the Vaadin framework, ensure visual and functional parity, and collaborate with the internal development team to incorporate architecture feedback and maintain consistency.

Develop, validate, and improve an existing AI-driven crypto trading engine and build/optimize the platform GUI. Implement and refine AI trading logic and recommendation systems, ensure code quality, performance, and scalability, and iterate on the live proof-of-concept toward a full pilot.