Implementation

• Execution of development projects with up to 10 parallel Scrum teams

• Analysis, design, implementation, testing, tuning, operations and maintenance

• Enterprise Java as well as C++, C#, Go, JavaScript / TypeScript, Kotlin, PHP, Python and Scala

• Architectures from 3-tiers to microservices, DDD

Consulting

• Introduction and optimization of agile development processes such as Kanban & Scrum, Agile Migration, SAFe

• Introduction of tools such as CI/CD and Atlassian

• Code reviews, technical due diligences, verification and data protection

• Refactoring and modernization of large software systems

Implementation

• Machine learning for industrial applications such as quality control, predictive costing and autonomous driving

• Computer vision and natural language processing, ROS2

• Deep learning, reinforcement learning

• Integration with business intelligence and big data systems

• Deployment of cloud-based AI services and AI-lets

Consulting

• Choice, validation and hardening of AI models

• Development, composition and tuning of learning algorithms

• Handling of training data and simulation

• Internet of Smart Things / IoST

Implementation

• Design, Deployment and Migration of large infrastructures into the cloud

• Monitoring of networks, services and operating data

• End-to-end automation including continuous integration and delivery

• Setup and operation of company-wide data lakes and data hubs

Consulting

• Strategies for the introduction of DevOps and Site Reliability Engineering

• Management of providers and outsourcers

• Cost and structure optimization

• Security audits