Artificial Intelligence Experts in Hanover

• Developed cloud-native enterprise applications on SAP Business Technology Platform using Node.js, SAP UI5, and RESTful APIs, delivering solutions across training management, procurement, employee information, and logistics domains
• Served as the primary developer for the maintenance, enhancement, and production support of three enterprise applications, delivering new features, resolving production issues, and coordinating releases with business stakeholders
• Experienced in leveraging AI-assisted development tools such as Microsoft Copilot to accelerate feature development, generate code, prototype solutions, and support application migration and modernization
• Designed backend services, domain models, and SAP Fiori/UI5 interfaces, implementing business workflows, role-based access control, validations, scheduling, reporting, and data import/export capabilities
• Designed and integrated enterprise services with SAP SuccessFactors, SailPoint, ERP systems, and external Learning Management APIs, including automated synchronization for 11,000+ user data
• Designed and implemented AMQP-based event-driven services processing up to 500 RFID parcel scan events per day for a logistics application
• Managed deployments and application operations using CI/CD pipelines, SAP Solution Manager, SAP BTP Cockpit, Kibana, and cloud monitoring tools, performing root-cause analysis and resolving production incidents
• Managed application dependencies by resolving npm package version conflicts and remediating critical and high-severity security vulnerabilities, ensuring production compliance and application stability
• Collaborated with architects, business users, SAP governance teams, and distributed Agile teams throughout technical design, code reviews, sprint planning, documentation, and software delivery

• Designed and implemented comprehensive business processes, leading cross-functional teams to increase customer satisfaction and reduce costs
• Provided training and ensured benefits realization through end-to-end workflow development
• Contributed to the “Generate Insights from Hidden Knowledge” initiative by developing and deploying AI-driven workflow automation solutions using Large Language Models (LLMs) and low-code/no-code platforms
• Designed multi-agentic workflows integrating OpenAI, LangChain, Haystack, and n8n to automate document review, data extraction, and knowledge summarization processes
• Led the orchestration of AI and automation frameworks to enhance medical and business review processes, ensuring compliance, explainability, and transparency
• Collaborated cross-functionally to translate complex business requirements into AI-enabled automation prototypes aligned with enterprise compliance and data privacy standards
• Applied Power Automate, UiPath, Nintex, and ServiceNow to deliver rapid, scalable, and secure automation solutions within validated operational environments
• Leveraged Lean Six Sigma, Agile/SAFe, and ITIL principles to structure AI development pipelines ensuring measurable impact, auditability, and sustainable governance
• Managed cross-departmental collaboration to standardize workflows, reducing errors and enhancing task management. Established governance frameworks to ensure the sustainability of automation solutions

• Ramp-up management: stabilize launches - whether a new product, a new production line, or a series ramp-up - until the processes run reliably
• Production management and process optimization: improve lead times, inventory, and delivery reliability in a lasting way with value stream analysis and continuous improvement
• Solve process and quality issues at the root cause instead of fighting symptoms
• Anchor Lean and shopfloor management in day-to-day work with the leadership team
• Change management and stakeholder management: guide leaders and teams through change and involve the wider environment

Development of AI-based and classical models for analyzing medical and patient data, including medication analyses, diagnosis analyses, forecasts, procedure analyses, dosage analyses, comorbidity analyses, prescription analyses, patient potential analyses, and referral profile analyses. Analyses in the area of Real World Evidence.

• Gathering customer requirements
• Planning the subproject
• Designing and defining KPIs
• Designing and developing models and visualizations of the results using customer dashboards
• Developing and implementing DWH adjustments
• Deriving recommendations for action

Methods, technologies: Simulation, Artificial Intelligence, Python, R, SQL, Microsoft Power BI, Amazon Web Services, Elasticsearch, PostgreSQL, Databricks, Multivariate Statistics

• Took ownership of the full development lifecycle for various features, from design through coding, debugging, and production deployment, ensuring compliance with banking-grade reliability standards.
• Optimized SQL queries, reducing data-processing time by up to 50%, especially for large datasets handled.
• Developed and maintained automated tests using JUnit and Mockito.
• Utilized GitHub Copilot as an AI-assisted development tool to accelerate code generation, improve code quality, and increase development efficiency within the team.
• Resolved 90% of assigned production issues independently, often under tight deadlines, contributing to uninterrupted system availability.

• Consultancy Databricks Lakehouse Platform Architecture
• Migration of existing manufacturing data services to Databricks. Existing services are running on various platforms & tools and are unified on target platform
• Implementation of new Data & AI use cases on Databricks platform (e.g. connecting new systems, building AI Agent prototypes, …)

Tech Stack: Databricks, Azure, PySpark, Python

Development of a global standard for the inspection process, training and enabling of the deployed employees, analysis of and advice on individual case decisions

• Under the OZG framework, the annex services for the ID card – loss reporting and exemption from the ID requirement – are prioritized as a core service. The EfA online service was developed under the lead of Hamburg. The goal is the statewide roll-in at the ID card offices in Schleswig-Holstein.
• Overall responsibility for planning, control, and roll-in of the annex services
• Coordination between Dataport, the State of Schleswig-Holstein, and the municipal ID card offices
• Management of reuse contracts and integration with existing specialized procedures
• Conducting information sessions for the ID card offices
• Test management and phased go-live
• Rollout management, stakeholder management, OZG, EfA principle, FIM, reuse management

• Helped 10+ SMEs to take their first steps in AI
• Held over 30 workshops on AI strategy and AI training
• Conducted audits through the identification and evaluation of AI uses
• Developed dedicated AI strategies and roadmaps for transformation
• Implemented AI workflows, AI agents and dedicated AI solutions
• Developed AI product roadmaps
• Delivered interactive trainings on prompting, EU AI Act, benefits and challenges of AI

• Set up and manage complex project and rollout structures (SAP, cloud, portfolio) for large public sector programs
• Provide professional leadership to interdisciplinary teams (up to 30 people)
• Coaching and advising project and program managers
• Facilitation of national and international workshops and committees
• Set up and manage backlog, risk, and dependency management; meeting and agenda structures
• Lead cross-functional teams and facilitate steering formats
• Coordinate individual transformation projects across multiple broadcasters
• Use various project and portfolio management tools (ServiceNow, Planview, Cplace, Clarity, Jira, Confluence)
• Develop rollout scenarios; manage pilot and full-scale go-live
• Responsible for change and communication concept, as well as organizational training (train-the-trainer, key-user network)
• Central control and harmonization of rollout activities across five broadcasters; standardization of project management methods, risk management, and integration management

• Implemented stereo camera calibration and applied incremental Structure from Motion (SfM) algorithms to build a detailed 3D model of a forklift for an AR-enabled Smart Forklift project
• Developed OpenCV-based preprocessing that improved data accuracy by 20% and enhanced the analysis of industrial videos

Concept and implementation of an AI phone assistant that handles incoming calls around the clock, processes them automatically, and passes them on to the responsible employees - including an analytics dashboard.

• Consulted on IT security and process optimization, focusing on NIS2 and risk requirements
• Troubleshot and optimized plant core networks using STP, certified hardware, and open-source components such as OPNsense
• Redesigned network segmentation for VLAN rollout in a hybrid multisite multicloud setup using Tailscale VPN
• Facilitated cross-departmental discussions to align technical and social requirements
• Optimized monitoring with Grafana, Telegraf, and SNMP configurations
• Prototyped network setup for a new plant, including VLAN separation with Tailscale VPN
• Automated various scenarios using Python and Bash scripting