Ruphus Tchana

Key Topics: Airflow, Kubernetes, Kafka, MLflow, Prometheus, Grafana, ZenML, API Security, AWS Cloud Practitioner

Intensive full-time program (960 hours) covering Data Science, Machine Learning, Deep Learning, NLP, Computer Vision, LLMs, RAG systems and AI application development, Git, GitHub.

- Designed and implemented backend services and REST APIs for data-driven enterprise platforms across telecommunications, automotive, and digital asset management domains. -Built and maintained data processing workflows handling structured and unstructured data, ensuring data integrity, reliability, and performance at enterprise scale. - Supported system stability through automated testing, monitoring, and performance optimization in collaboration with architects and product owners.

- Developed backend solutions and data persistence layers using Spring Boot, Hibernate, and PostgreSQL for enterprise applications. - Contributed to API-driven system design with emphasis on robustness, maintainability, and clean architecture. - Applied enterprise software engineering practices within Agile delivery teams.

Automatische Ermittlung ausserordentlicher Situationen im Stromverbrauch in Privatenhaushaltern mit Hilfe von Maschinellen Lernen