AI Consultant in Berlin

• Partnered with senior stakeholders across AWS EMEA to drive talent strategy, partner development, and business growth in the cloud ecosystem.
• Focus areas:
• Collaboration with Sales & Partner Management on Go-to-Market initiatives
• Advisory on long-term resource strategy for Cloud, Data, and Security Divisions
• Supporting internal innovation teams in scaling AI and automation projects
• Result: Contributed to AWS’s expansion in Central Europe by aligning business, technology, and people strategy.

• Used OpenCode and AI-assisted software engineering to design, implement, refactor, test, and document an end-to-end RAW/SDTM/ADaM pipeline in R for Dr. Falk Pharma (07/2026), including metadata-driven transformations, automated validation rules and QC, traceability, and reproducible clinical outputs.

• Freelance work as a consultant (workshops and coaching for small to midsize companies in the areas of lean startup methodology, digital & AI transformation strategy, agile culture, design thinking)
• AI training & certification
• Project Management

• Delivered AI and data science solutions, including LLM-based chatbots and data pipelines, improving operational efficiency.
• Collaborated on product features, achieving measurable impact and maintaining strong client relationships.

• Insurance service provider*

Challenge: Business-critical documents were processed through external OCR providers, with ongoing costs, dependency, and data privacy risks for sensitive insurance data.

Implementation:

• Architecture and production implementation of an on-premise OCR solution with full data ownership
• Methods for recognizing document structures as the basis for automated further processing
• ML-, NLP-, and LLM/VLM-based information extraction, especially from invoices and quotations

Success: Replaced external providers: full data ownership, GDPR-compliant processing, and 75% lower recurring OCR costs per year

Used technologies: Python, Docker, Microservices, FastAPI, PyTorch, Torchvision, MongoDB, MySQL

• Too Good To Throw (AI powered social impact webapp focused on reducing food waste in Nigeria):

• Integrated Paystack Split Payments to automatically route payments between the platform and partner vendors.

• Configured automated subaccount creation workflows so new businesses get a settlement account instantly.

• Setup a scalable cloud backend using Supabase.

• Implemented role-based access control (RBAC) for Users, Partners, and Admin.

• FaithFlow (AI powered webapp supporting Christian teens on their spiritual journey):

• Designed and implemented an AI-driven scripture search engine that interprets natural language questions and maps them to relevant Bible texts, commentary, devotionals, and cross-references.

• Designed a spiritual growth dashboard enabling users to track reading progress, prayer streaks, and devotional completion milestones.

• Developed YourBestChance.io, an AI-powered career resilience platform that leverages advanced machine learning to provide personalized guidance and resources for users.
• Architected and implemented a Retrieval-Augmented Generation (RAG) system supporting three languages, utilizing GPT-based large language models (including OpenAI and Grok variants) integrated with specialized vector databases for efficient semantic search and similarity matching.
• Built an interactive AI chatbot powered by generative AI and RAG pipelines to deliver real-time, context-aware responses and enhance user engagement.
• Optimized data pipelines and AI infrastructure for scalability, ensuring robust performance under increasing loads and reducing latency by 50%.
• Developed comprehensive AI strategies using ML and Gen AI to create customized growth plans; analyzed company data to identify strengths, weaknesses, risks, and opportunities for AI integration.
• Defined ethical frameworks for AI deployment, assessed workforce and leadership upskilling needs, and built phased action plans (short-, mid-, and long-term) with targeted AI integration recommendations.

• AI Governance Expertise: Development of ethical AI standards and governance frameworks for organizations
• Responsible AI Expertise: Applying ethical impact and what-if analyses in Design Thinking workshops, bias auditing tools (IBM AIF360, Microsoft Fairlearn, Google’s What-If Tool), fairness metrics and risk management (e.g., via MIT risk repository)
• Regulations (EU, DE): Expertise on the EU AI Act, GDPR, ISO 42001, ISO 23894 and ethical standards

• Conducted media training for international executives.
• Advised and supported management on communication strategies and initiatives.
• Served as a sparring partner for executives on internal and external communication matters.

• Evaluated 45+ AI use cases and developed a prioritization framework for Siemens’ internal AI roadmap.
• Tested internal tools like DRIM, SiemensGPT, Microsoft Copilot; presented evaluation outcomes to stakeholders.
• Identified performance gaps and improved tool adoption by 65%.
• Supported AI knowledge-sharing initiatives, led tool onboarding sessions, and improved team AI literacy.
• Collaborated with engineering, procurement, and digital teams on tool feedback and strategy alignment.

• Built and deployed agentic digitization tools (LLM website generator and social content) for Mittelstand brands.
• Re-architected AWS infrastructure, added observability and guardrails; owned end-to-end delivery and handover.
• Set up editor accept-rate, p95 latency, and guardrail catch-rate checks.