Master’s student (thesis phase), focused on backend and distributed systems, moving toward full-stack.
I build scalable systems with an emphasis on architecture, reliability, and maintainability. Interested in combining solid system design with practical ML.
Python • TypeScript • Java Docker • Kubernetes
Focus: backend systems, APIs, data pipelines, distributed systems, ML integration
Data Drift Detection in Industrial Image Processing Systems
- Detecting drift in image-based ML systems
- Integration into scalable pipelines
- Prototype + evaluation and comparison
- Design for scale and failure
- Keep systems simple and composable
- Prefer explicit, typed interfaces
- Optimize based on measurement
https://jannikseus.tech https://www.linkedin.com/in/jannik-seus