Amazon Web Services Experts in Dresden

BAFA consulting and project support for the introduction of AI solutions and AI agents.

• Analysis of existing business and customer service processes and identification of automation potential
• Design of AI-supported processes and agents for communication, support, and internal operations
• Gathering and structuring requirements with the company’s contacts
• Planning implementation and coordinating between the client, consulting, and development teams
• Consulting on the integration of AI into existing workflows and systems
• Development of use cases and prioritization based on value and implementation effort
• Support with testing, adjustments, and the rollout of solutions
• Consulting on data protection, process design, and the use of AI within the company

Methods/Technologies: AI agents, on-premises LLM, RAG, prompt engineering, process automation, API integrations, n8n, project management.

• Strategic corporate management: developing vision and strategy, defining long-term goals, planning market positioning
• Market analysis: monitoring and evaluating trends and technologies
• Developing the business model: identifying new business areas, e.g. cloud, managed services, security
• Commercial management: budget planning and controlling: managing revenue, costs, profitability, and liquidity
• Reviewing annual financial statements and balance sheets: working with tax advisors/auditors
• Contracts and legal matters: reviewing and approving contracts, data protection, IT law
• People management: team leadership, communicating company goals
• Employee development: training, recruiting, career planning
• Organizational development: designing structures and processes efficiently
• Technology and project responsibility: making technology decisions: selecting IT systems, partners (Red Hat, Cisco, HP), and tools
• Project oversight: monitoring major customer projects, ensuring quality and timelines
• Promoting innovation: supporting agile methods, DevOps, automation
• Sales and customer management: supporting key customers, building and maintaining customer relationships
• Quotations and negotiations: calculating offers, negotiating contracts with customers
• Marketing and external presence: positioning the brand, taking part in events/trade fairs
• Cooperations and partnerships: maintaining vendor contacts, working with Red Hat, Cisco, HP; certifications and partnerships: maintaining and expanding relevant certifications: LPIC-1, Red Hat, PMP, AWS
• IT security and compliance: ensuring information security, following ISO 27001 and BSI basic protection; implementing data protection: ensuring GDPR compliance

• Developed a comprehensive business concept for a medical fall detection device based on a patented process registered in Germany
• Identified and collected use cases for medical device deployment in residential buildings and healthcare provider facilities
• Expanded the product scope to industry standards such as HL7/FHIR and designed a product based on modern communication protocols for IIoT
• Supported offshoring activities, defined SLA and scope-of-work documents for development teams after selecting various vendors
• Identified and selected hardware components (Terrabee, E-Con Systems) for LIDAR/TDOA functions
• Defined integrated AI features and LLM models for patient fall detection as well as AI-based audio triggers
• Oversaw the implementation of algorithms for object detection, fall detection, and false alarm identification

• Further development of framework components and services in the Enterprise Banking Control Platform (EGP Framework), a set of cross-cutting libraries and services for all bounded context scopes of the platform.
• Migration from Java 17 to Java 21 and from Spring Boot 3.2 to 3.4 in about 80 library and service repositories (updating Maven POMs, Dockerfiles, Jenkins pipelines, source code migration, test updates).
• Writing unit and integration tests with JUnit and JGiven.
• Performing and analyzing performance measurements with Dynatrace.
• Enhancing multi-stage CI/CD pipelines (unit tests, security analyses, Docker builds, Harbor deployments, ...).
• Tech stack used: Java (90%), Python (10%), Spring Boot, JPA/Hibernate, JGiven, OpenAPI, Camunda 7, Podman, OpenShift/Kubernetes, Oracle DB, SonarQube, Dynatrace, Jenkins, Harbor, Bitbucket, Jira, Confluence.

• Complete redevelopment of a time and work tracking software for student support and people with disabilities.
• Responsible for the fundamental restructuring of the code using Angular 19 (frontend) and Next.js (backend) on a TypeScript basis.
• Implemented as a monorepo with NX workspace.
• Set up AWS infrastructure and built a GitHub CI/CD pipeline for automated deployments.

• Migration of market communication / schedule management to AS4
• Initial planning of IT tasks in the form of a project plan, consolidating and verifying all tasks and, if needed, setting up project streams including effort estimation, tasks, resource allocation and availability
• Consulting with overall project management on project-related topics
• Aligning streams and tasks with each other, coordinating the above points with all project participants / sub-project managers / coordinators within the project
• IT project management and coordination
• Managing IT service providers (Robotron (eSales) and Arvato (B2B)) and ensuring a high IT quality standard based on SLAs/KPIs and regular reports
• Coordinating with 50Hertz key users, product owners, and process owners, as well as all four German transmission system operators as part of the project
• Cross-departmental, technical and project-oriented consulting, especially with the IT infrastructure, IT network, and IT security teams
• Managing project risks (internal and external) / risk buffers
• Actively communicating with sub-projects to minimize risks or identify bottlenecks regarding resource availability and meeting deadlines / sub-tasks within the project
• Actively mapping new requirements and emerging risks in the project and resource plan and coordinating with the affected sub-projects

• Streamlining massive production processes serving millions of patients for Europe’s most valuable company

• Technical and professional management of software and ML development; largely independent programming and guidance of the team and external project partners
• Design, creation, and preparation of training and test datasets from experimental image data and simulations
• Selection, implementation, training, validation, and testing of neural networks for image-based reconstruction and transformation
• Systematic evaluation, comparison, and optimization of various model architectures (convolutional neural networks, generative adversarial networks, autoencoders, transformers)
• Design and implementation of explainable AI analyses to assess model interpretability and robustness (feature map analysis, augmentation studies, guided backpropagation)
• Presentation of the developed methods and results at project meetings and international conferences