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

• Generative AI, including LLMs and Vision Language Models

• TNG AI productivity tools, such as automated code migration and test generation

• Computer Vision for image analysis, object detection, and automated quality control

• Machine Learning for industrial applications, including quality control, predictive costing and autonomous driving

• Reinforcement Learning

Consulting

• Choice, validation and hardening of AI models

• Development, composition and tuning of learning algorithms

• Handling of training data and simulation environments

• Support for hosting solutions

Implementation

• Design, deployment, and migration of large-scale infrastructure to the cloud

• Monitoring of networks, services, and operating data

• End-to-end automation, including CI/CD, containerization, and container orchestration

• Database design, operation, and optimization

• Security measures to protect systems, applications, and data

Consulting

• Strategies for building and migrating infrastructure

• Best practices for system stability, security, and maintenance

• Coordination of providers and contractors

• Cost and structural optimization

• Security audits and risk assessments