Google Gemini Experts in Berlin

• Further development and harmonization of cross-site HR structures and processes to increase efficiency and governance in close, ongoing collaboration with the (Group) Works Council.
• Management of the HR transformation during the change of ownership and realignment of the holding structures, generating annual savings of around €1.5 million
• Strategic development and restructuring of the Finance function with the CFO, establishment of a performance culture and optimization of structures and processes with a positive P&L impact.
• Realignment of Talent Acquisition, reducing time-to-hire from 7 months to 8 weeks, optimizing the cost and supplier structure, and introducing data-based management

• Professional and disciplinary leadership, coaching and performance tracking of the Active Sourcing and Recruiting team
• Recruiting and Active Sourcing of specialists and managers in the tech sales sector, from Account Executive to CSO level
• Interim recruiter for various companies
• New customer acquisition by phone, email and LinkedIn Sales Navigator
• Process optimization through AI
• Optimization of the careers website and job profiles

Workflow-automation SaaS for operations teams (Berlin, 120 people); full-time freelance engagement reporting to the CEO: an initial 12-month interim mandate, extended twice through the AI build-out; owned product for one squad and coached the other product managers on process.

• Led generative AI (LLM) integration into the core product: from LLM-powered steps to natural-language workflow authoring and step-level automation suggestions, plus AI-managed dynamic workflows, shipped behind eval gates with human-in-the-loop fallbacks: AI-drafted workflows grew to 31% of all new workflows, and median time-to-first-workflow fell from 3 days to 4 hours.
• Packaged the AI capabilities as a usage-based add-on priced on executed automation steps, working with sales and marketing on positioning: ~€800K added ARR in the first year, and adopting accounts churned 1.8 pp less.
• Owned the roadmap end to end: replaced feature-request-driven quarterly planning with an outcome-based rolling roadmap built on quarterly bets and explicit kill criteria, presented monthly to the executive team and quarterly to the board.
• Rebuilt the product-management operating system: weekly customer-discovery cadence incl. workshop facilitation, RFC/decision-doc reviews and a single quarterly metrics narrative; coached four product managers, one promoted to senior during the engagement.
• Closed the engagement as scoped: hired and onboarded the permanent VP Product, handed over the process playbook and roadmap, and exited on schedule in June 2026.

• Training LLMs with annotation to write and design content in various areas: business, financial, novel, humor, theater.
• Built + 150 campaigns on a TikTok account, reaching +50K followers and 1,2 M likes to promote the book 'Silence, Manants' through audience building and positioning.

• AI adoption project in the field of public administration
• Development of a multi-stage format for introducing AI: keynote, workshops for employees and managers, deep dives on IT and legal topics
• Coordination and content alignment with external subject-matter experts (IT + legal)
• Focus on sustainable use in everyday work instead of a one-time training session

Advanced AI company building comprehension and decision-making models for defense, security, and strategic intelligence environments.

• Designing GTM narrative and positioning for a technically complex product with no direct comparables
• Building institutional partnerships with defense, security, and policy stakeholders
• Validating commercial assumptions and sequencing go-to-market in a high-trust, regulated buyer environment
• Mapping the DACH enterprise and public-sector landscape for AI adoption

• Leading UX for a Property Management System, an all-in-one solution for vacation rental agencies and tourism regions, covering marketing and rental of holiday apartments and houses
• UX audits, conception, and implementation of UX strategy with a focus on regulatory, security, and user-centered requirements
• Advising C-level stakeholders on UX strategy and design best practices
• Planning and conducting research with agencies and property owners
• Design system strategy and definition of UX architecture

CFO as a Service for a coworking space & incubator (€2 million in annual revenue, 15 employees), 1–2 days per week.

• Took over the full finance function: cash flow management, budgeting, forecasting, building an integrated financial plan
• Approval processes, C-level reporting and KPI tracking
• Communication with banks and tax advisors, C-level sparring
• Tools: Moss, re:cap; functional guidance of an assistant and accounting specialist

AI Platform Backend – Senior Developer

Hired to design and build an AI platform backend from the ground up, including multi-provider LLM orchestration and real-time infrastructure for AI influencer personas at scale.

Tasks and Responsibilities

• Architected and implemented a multi-LLM orchestration layer with Semantic Kernel to integrate GPT-4 and other providers for core platform logic and AI influencer personas, reducing model-switching overhead by abstracting provider APIs behind a unified interface.
• Designed and developed a backend from the ground up in C# / .NET 10, including domain modeling with DDD, a versioned RESTful API layer, and cloud infrastructure on Azure.
• Built real-time chat infrastructure with Server-Sent Events (SSE), message persistence, and delivery guarantees for running AI influencer personas live at scale.
• Developed a media management service with cloud object storage integration for uploading and retrieving influencer-generated content.
• Created an integration and unit test suite with data seeding for reliable regression testing across all core platform flows, significantly reducing the production error rate.

Tools and Technologies: C#, .NET, ASP.NET Core, Python, TypeScript, MySQL, Semantic Kernel, EF Core, Minimal APIs, LLM Orchestration, Prompt Engineering, Agentic AI, Generative AI, AI-Assisted Engineering, Claude Code, GitHub Copilot, Google Gemini, OpenAI API, Ollama, Redis, Azure, Azure Container Apps, Azure Database for MySQL, Docker, GitHub Actions, Clean Architecture, Vertical Slice Architecture, CQRS, Domain-Driven Design, REST API, xUnit, Integration Testing, Unit Testing, Jira, Confluence, Scrum

• Oversee high-impact innovation and discovery projects for German energy providers, focusing on identifying and developing forward-looking product concepts.
• Improved user experience, increased operational efficiency, and simplified sales processes in the dynamic energy market by conceptualizing a digital platform.
• Explored new product ideas while positioning the company for growth and competitiveness in the rapidly evolving energy sector.

• Self-employed · Berlin, Germany
• Co-founded the company and own the entire technical side: product architecture, backend, frontend, infrastructure and operations.
• Designed and built the Automated Booking System (ABS) as well as the core platform and payment logic.
• Development of AI-powered SaaS products, from architecture through backend and frontend to production operation.
• Technical consulting on product architecture, data protection and permissible automation.
• Building, running and monetising my own API products for AI agents, each available as a REST interface and as an MCP server.
• Full ownership of architecture, infrastructure, billing, legal texts and go-to-market.

• Acted as technical consultant to optimize multi-layer ensemble models combining ResNet, CNN-BiGRU-Attention, and XGBoost.
• Guided implementation of a Logistic Regression meta-learner to solve class imbalance problems, achieving 92.86% accuracy and 0.9644 AUC on PTB-XL and Chapman-Shaoxing datasets.

• Designed and deployed enterprise Retrieval-Augmented Generation (RAG) applications using LangChain, LangGraph, vector databases, embeddings, and open-source LLMs served through vLLM on GCP GPU infrastructure.
• Built agentic AI workflows using LangGraph with planning, reasoning, tool execution, persistent memory, session management, and Human-in-the-Loop approval mechanisms.
• Developed LLM-powered automation systems integrating BigQuery, SQL pipelines, and external advertising APIs including Meta, TikTok, Amazon, Snapchat, Google, and Pinterest, reducing manual operational workflows.
• Architected multi-agent AI systems for enterprise analytics and decision-support workflows, enabling autonomous task execution and intelligent data interactions.
• Implemented retrieval optimization strategies including multi-retriever architectures, semantic search, context optimization, and query improvement techniques, improving response relevance by approximately 40%.
• Engineered structured prompting strategies, function-calling schemas, and validation workflows to improve reliability of multi-step LLM applications.
• Designed scalable AI services using Python, FastAPI, Cloud Run, Pub/Sub, BigQuery, Docker, and cloud-native deployment architectures.

• Taught Python, Pandas, data analysis, visualization and Power BI to 250+ students.
• Guided practical projects from data preparation and exploratory analysis through visualization and dashboard creation.
• Explained complex analytical concepts clearly to audiences with different levels of technical experience.