Artificial Intelligence Experts in Hanover

• 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

• 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

• 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

Advising mid-sized companies on AI integration, process automation, and digital transformation. Developing AI strategies, automating with n8n and Make, introducing agile methods, and supporting digital transformation projects.

• Supported various branches like military, automotive, finance, production and critical infrastructure
• Served as trainer in the Akkademy of Akkodis (honoured with the trainer award 2024)
• Specialized in Cyber Threat Intelligence combined with ML and AI for an extended cyber defense centre (XCDC)
• Introduced CyberSecurity methodology to military vehicles and their lifecycle

• Improved model compliance accuracy by 30% through legal auditing of AI outputs.
• Designed rubrics to detect AI governance and IP infringement risks in high-risk use cases.
• Enhanced prompt consistency to reduce hallucination-related liability exposure.
• Legal & Governance: GDPR, EU AI Act, IP licensing, platform liability, legal drafting.
• Technical: Python, NLP in Python, Power BI.
• Tools: Clio, Westlaw, LexisNexis, Microsoft Office.

• Worked in the IT infrastructure of the Deloitte team.
• Planned assignment as service catalog manager at an insurance company in Hanover.