Stefan Pedratscher

- Design and implementation of a domain-specific language for workflow scheduling and FaaSification in cloud-native systems - Optimization of distributed workflows - Development of serverless and FaaS architectures for scalable cloud deployments - Working with Cloud providers - Evaluation and publication of research findings in scientific journals and conferences - Development of algorithms with a focus on cost efficiency and performance - Supervision and mentoring of students, including teaching

- Development of client-server applications with OPC-UA for M2M communication - Use of distributed architectures for industrial applications - Integration of machine-to-machine communication protocols - Testing and debugging - Support in software architecture for industrial applications

- Development of a web server - Implementation of backend and frontend logic - Design of scalable software architectures for enterprise applications - Support in system architecture and software documentation - Testing and optimization of client-server communication

- Development of client-server applications with a focus on M2M communication (OPC-UA) - Contribution to telecommunications solutions in the field of industrial communication - Analysis of network protocols for performance optimization - Preparation of documentation and system descriptions - Practical application of software development methods in industrial projects

- Development of cloud and distributed systems architectures - AI-based optimization of data pipeline and scheduling - Implementation of serverless and FaaS architectures for cloud-native systems - Use of Apache Flink, Kafka, and Kubernetes for stream processing and orchestration - Publication of research results in IEEE, IOT, and FGCS - Development for cloud and AI systems with a focus on monetary cost, latency, and performance - Supervision and mentoring of students, including teaching

- Specialization in distributed systems and cloud computing - Execution of research projects on serverless computing and Function-as-a-Service (FaaS) - Development of scalable software solutions with Java, Python, and Node.js - Use of Docker, Kubernetes, and Terraform for cloud-native applications - Focus on optimization of workflows and scheduling algorithms - Work with SQL and NoSQL databases - Master’s thesis in the field of distributed systems and cloud infrastructures

- Fundamentals in software engineering, algorithms, and data structures - Introduction to distributed systems, networks, and cloud technologies - Database modeling and implementation - Teamwork in software projects with Git - Building foundational knowledge in telecommunications and network engineering - Practical experience in debugging, testing, and performance optimization of software systems - Application of theoretical knowledge in research projects within computer science and engineering

- Advanced knowledge in mathematics, computer science, and natural sciences - Knowledge in programming, network engineering, and telecommunications - First experiences with project management