Germany
13 years building and scaling products from zero to 9-figure revenues. Operating at board and investor level across VC-backed and corporate-backed environments. The last 3 years? Building AI-first products from the ground up and transforming legacy operations into intelligent systems. Building AI-first engineering teams and development workflows around production-grade AI infrastructure: spec-driven pipelines, multi-agent orchestration, MCP servers, automated testing through AI agents. Not prompt engineering, but production systems. What I build: - AI-native platforms using LLMs, multi-agent systems, RAG architectures - API-first B2B/B2B2C and SaaS reaching 5000+ enterprise partners - Regulated financial products (insurance, lending) with full compliance automation - Products where AI is the core architecture, not a feature - Strategic alignment across boards, investors, and executive teams in regulated, high-growth environments Track record: ✓ 3x founder - scaled products from zero to mid-9-figures ✓ Built and led organizations of 50+ (product, engineering, design, data science) ✓ Shipped 50+ products across insurance, fintech, and SaaS ✓ Raised €40M+ in venture funding ✓ Managed €10M+ P&Ls and operational budgets Current focus: Production AI systems | Autonomous agents | LLM orchestration | Hands-on technical leadership | Enterprise automation | Reducing human ops by 10x Technical: JavaScript/TypeScript | Node.js | Python | Mastra | Langchain | LangGraph.js | Vector DBs | RAG implementation | LLM orchestration (OpenAI/Claude/Gemini) | Prompt Engineering | REST/GraphQL APIs | Next.js | AWS/Vercel Based in Berlin. Open to connecting with builders, AI practitioners, and those transforming traditional industries.
AI-first venture - from architecture to market launch. - Building fully autonomous AI platform targeting 80%+ process automation in regulated B2B/B2B2C markets - replacing traditional workflows with intelligent multi-agent systems - Architecting production-grade LLM orchestration layer handling complex decision trees, regulatory compliance, and real-time processing at scale - Leading full-stack venture development: technical architecture, team building (currently hiring ML engineers and full-stack developers), stakeholder management, board relationships, and GTM strategy - Establishing AI-first engineering culture: agentic coding workflows, AI-native development practices, and autonomous operational processes. Compressing build cycles while maintaining architectural quality - Production AI infrastructure: spec-driven development pipelines, MCP servers, agent orchestration, enforced testing through AI agents. Bridging the gap between AI experimentation and enterprise-grade production systems - Redesigning operational workflows from first principles - identifying where AI multiplies value vs. adds complexity, focusing on ROI-driven automation - Technical stack: Node.js, TypeScript, Python, LangChain, Mastra, vector databases, OpenAI/Anthropic/Google APIs, AWS, microservices architecture - Managing stakeholder alignment across AXA leadership and technical teams
API-first, AI-enabled embedded insurance platform for digital distribution. - Built AI-powered, API-first embedded insurance platform from 0→1 serving B2B/B2C channels - processing thousands of policies monthly across multiple European markets - Architected core technical infrastructure: RESTful APIs, event-driven microservices, AI-powered pricing engine for risk assessment, automated underwriting workflows, real-time quote generation - Implemented no-code configuration layer enabling partners to customize products, pricing rules, and compliance requirements without engineering support - reduced implementation time by 95% - Transformed operational efficiency through AI and automation: - Partner integration: 6 months → 2 days (self-service onboarding, automated API testing, sandbox environments) - Product releases: 6 months → 2 weeks (CI/CD pipeline, automated compliance checks, feature flags) - Achieved 80% operational cost reduction through intelligent process automation - Managing Director responsibilities: P&L ownership, raised seed funding, built team from 2→15 (product, engineering, operations), managed regulatory compliance, established partnerships with carriers and distribution partners
Europe's leading embedded insurance platform - true 0→1→scale journey. - Built core insurance platform from scratch enabling product launches in hours (previously 6+ months): modular architecture, API-first design, white-label capabilities, automated underwriting, real-time pricing engine - Scaled technology and product organization from 2→50+ across product, engineering, design, and operations - established engineering culture, hiring processes, and delivery frameworks that enabled 50+ product launches - Architected technical infrastructure supporting 5,000+ partner integrations: RESTful APIs, webhook systems, sandbox environments, automated onboarding, self-service portals - managing 100+ integration projects - Drove business growth from €0→high 8-figures ARR through strategic product development: - Multi-channel distribution (B2B, B2B2C, B2C, brokers) - Geographic expansion across European markets - Co-led fundraising, board management, and strategic initiatives while maintaining hands-on involvement in product and technical decisions
Digital-first insurance carrier disrupting traditional distribution. - Built core insurance platform from zero to launch in 12 months: policy management system, claims processing, underwriting engine, customer portal - fully BaFin compliant - Established product development processes and infrastructure for a greenfield insurtech: agile frameworks, CI/CD pipelines, testing protocols, regulatory compliance workflows - Led cross-functional teams (product, engineering, design, UX) through 0→1 journey - hiring key roles, defining technical architecture, shipping MVP to market - Integrated critical third-party systems: payment processors, accounting systems, KYC/AML providers, data analytics tools - reducing manual operations by 40% - Drove product-market fit through customer-centric approach: user research, rapid prototyping, A/B testing - achieving 50% adoption increase within 6 months of launch
Kreditech leveraged AI, big data, and machine learning to offer financial services for underbanked consumers, including loans, digital wallets, and credit-scoring solutions. - Led the successful launch of cutting-edge financial products aimed at underbanked consumers, using AI and machine learning to deliver personalized financial services, achieving market leadership. - Improved operational efficiency using agile methodologies and strategic budget allocation. - Ensured full product compliance with AML regulations, minimizing risk in a regulated environment. - Led and built product and engineering teams (40+ people). - Managed EUR 10+ Million budget for both development and marketing activities. - Managed strategic integrations with key technology partners.