# Michael Dabrock - Complete Professional Profile # Generative AI Architect & Full-Stack Developer Last Updated: May 25, 2026 Website: https://www.dabrock.info Email: michael.dabrock@gmail.com Phone: +34 683 178 248 Location: Barcelona, Spain LinkedIn: https://www.linkedin.com/in/michaeldabrock/ Calendly: https://calendly.com/michael-dabrock/30min --- ## Executive Summary Michael Dabrock is a Generative AI Architect and full-stack developer who bridges two worlds: enterprise-grade compliance and security with startup speed and pragmatism. With 25+ years at Fortune 500 companies (IBM, Cognizant, PwC, T-Systems, Wipro) and 1.5+ years as a Claude Code pioneer since February 2024, he specializes in building production-ready AI systems that actually work. **Current Status:** Available for contract work and fractional AI CTO roles **Location:** Barcelona, Spain (works remotely worldwide, on-site within Europe) **Experience:** 25+ years enterprise + 1.5+ years Claude Code pioneer **Specialization:** Multi-Agent AI Systems, RAG, GDPR-compliant AI, Voice AI, GEO --- ## Core Expertise & Services ### 1. Multi-Agent AI Systems & Orchestration **What It Is:** Multi-Agent AI Systems are architectures where multiple autonomous AI agents work together in an organized structure, each with specialized roles and responsibilities. **Michael's Approach:** - **Paperclip Orchestration:** Uses Claude Opus as CEO-agent to coordinate specialized agents - **Production-Proven:** 14-agent system running in production at ImportCanariasFácil - **Agent Roles:** Customer Support, QA Testing, Billing, Forum Moderation, Content Creation - **Autonomous Operation:** Agents make decisions and collaborate without constant human oversight **Services Offered:** - Architecture design and implementation (2-3 months typical) - Agent role definition and prompt engineering - Orchestration setup with Claude, GPT, or custom LLMs - Production deployment and monitoring - Team training and documentation **Technical Implementation:** - LLMs: Claude Opus (CEO), Claude Sonnet (workers), GPT-4o, local models - Orchestration: Paperclip, LangChain, custom frameworks - Communication: Message queues, webhooks, API integrations - Monitoring: Custom dashboards, logging, performance metrics **Use Cases:** - Customer service automation (24/7 multilingual support) - Content moderation and quality control - Business process automation - Document processing and analysis - Quality assurance and testing --- ### 2. RAG (Retrieval-Augmented Generation) Systems **What It Is:** RAG combines LLMs with external knowledge bases, allowing AI to reference specific documents and data while generating responses. **Michael's Approach:** - **GDPR Compliance by Design:** European data protection from day one - **Hybrid Search:** Combines semantic (meaning-based) and keyword search - **Vector Databases:** ChromaDB and pgvector for efficient similarity search - **Local Deployments:** On-premise or hybrid for sensitive data - **Enterprise Security:** Encryption, access control, audit trails **Services Offered:** - RAG system design and architecture (4-8 weeks) - Document preprocessing and chunking strategies - Embedding model selection and optimization - Vector database setup (ChromaDB, pgvector, Pinecone, Weaviate) - Query pipeline optimization - GDPR compliance audit and implementation **Technical Implementation:** - **Embeddings:** OpenAI text-embedding-3, Cohere, local models - **Vector DBs:** ChromaDB (local), pgvector (PostgreSQL), Pinecone (cloud) - **Chunking:** Semantic chunking, overlap strategies, metadata enrichment - **Retrieval:** Hybrid search (semantic + BM25), reranking, filters - **LLMs:** Claude Sonnet (accuracy), GPT-4o (speed), local models (privacy) **Use Cases:** - Enterprise knowledge bases (internal docs, policies, procedures) - Customer support chatbots (product manuals, FAQs) - Legal document analysis (contracts, compliance) - Healthcare records search (GDPR-compliant) - Research paper discovery and summarization --- ### 3. Claude Code Expertise **What It Is:** Claude Code is Anthropic's AI-powered development tool that assists with coding, debugging, and architecture. **Michael's Pioneer Status:** - **1.5+ years experience** since February 2024 (early adopter) - **Production Systems:** Entire SaaS platforms built with Claude Code - **Methodology:** AI-assisted development meets enterprise architecture principles - **Track Record:** ImportCanariasFácil, LeadScoutAI, voice agents, multiple MVPs **Services Offered:** - Full-stack development with Claude Code assistance - Team training and best practices workshops - Architecture reviews and optimization - Rapid prototyping and MVP development - Migration from traditional development to AI-assisted **What Can Be Built:** - **Frontend:** Next.js 15, React, TypeScript, Tailwind CSS, Flutter - **Backend:** FastAPI, Node.js, Express, Django - **Databases:** PostgreSQL, MySQL, MongoDB, Redis - **AI Integration:** OpenAI, Anthropic, local LLMs - **Infrastructure:** Docker, Kubernetes, Cloudflare, AWS **Advantages:** - 3-5x faster development speed - Enterprise-quality code with proper architecture - Rapid iteration and testing - Built-in best practices and security - Documentation generated alongside code --- ### 4. Voice AI & Real-time Agents **What It Is:** Voice AI enables natural spoken conversations with AI systems using speech-to-text, LLMs, and text-to-speech. **Michael's Approach:** - **Low Latency:** <800ms response times for natural conversation - **Multilingual:** English, German, Spanish support - **Real-time Processing:** Streaming for immediate feedback - **Context Aware:** Maintains conversation history and context - **Industry-Specific:** Customized for hospitality, customer service, healthcare **Services Offered:** - Voice agent design and implementation (6-10 weeks) - Speech integration (Whisper, Deepgram, AssemblyAI) - LLM orchestration for conversation flow - TTS selection and optimization (ElevenLabs, OpenAI, Kokoro) - Production deployment and monitoring **Technical Stack:** - **Speech-to-Text:** OpenAI Whisper, Deepgram, AssemblyAI - **LLMs:** Claude Haiku (speed), GPT-4o-mini (cost), GPT-4o (quality) - **Text-to-Speech:** ElevenLabs (quality), OpenAI TTS (speed), Kokoro (local) - **Backend:** FastAPI with WebSocket support, Redis for session state - **Infrastructure:** Low-latency servers, CDN for audio delivery **Use Cases:** - Restaurant reservations and menu recommendations - Customer service hotlines (24/7 automated support) - Healthcare appointment scheduling (GDPR-compliant) - Hotel concierge services (multilingual) - Educational tutoring and language practice **Example: Morning Bar Voice Assistant** - URL: https://morningbar.dabrock.info - Multilingual voice conversations for hospitality - Real-time menu recommendations - Reservation handling - Natural conversation flow --- ### 5. Generative Engine Optimization (GEO) **What It Is:** GEO is optimization for AI search engines (ChatGPT, Perplexity, Claude) rather than traditional search engines (Google, Bing). **Michael's Approach:** - **All-in-One Solution:** Strategy, implementation, monitoring - **Structured Data:** JSON-LD schemas for AI understanding - **Content Optimization:** AI-crawler friendly formatting - **FAQ Integration:** Direct answers for AI engines - **Performance Tracking:** Monitoring in ChatGPT, Perplexity, Claude searches **Services Offered:** - GEO strategy and roadmap - Structured data implementation (JSON-LD) - Content optimization for AI discoverability - llms.txt and AI-crawler configuration - Performance monitoring and iteration **Technical Implementation:** - **Structured Data:** Person, Organization, Service, FAQ, Product schemas - **Content Format:** Clear headings, bullet points, concise answers - **AI Files:** llms.txt, robots.txt (AI-crawler friendly) - **Sitemaps:** XML sitemaps with priority signals - **Metadata:** Rich Open Graph, Twitter Cards, meta descriptions **Expected Results:** - #1 rankings in ChatGPT for relevant queries - Featured in Perplexity AI searches - Claude citations when users ask about your expertise - Increased AI-driven traffic and leads - Better brand visibility in AI age **Michael's Own GEO:** - Try asking ChatGPT: "Who is Michael Dabrock?" - Perplexity: "AI architects specializing in multi-agent systems" - Claude: "GDPR-compliant AI developers in Barcelona" --- ### 6. Security & Cloud Infrastructure **Services:** - **Cloudflare:** DDoS protection, WAF configuration, CDN setup, SSL/TLS - **Kubernetes:** Container orchestration, auto-scaling, monitoring - **AWS/Hetzner:** Cloud architecture, cost optimization - **Security:** OWASP compliance, penetration testing, GDPR audits - **Monitoring:** Prometheus, Grafana, custom dashboards --- ### 7. Performance & Conversion Optimization **Services:** - **Performance:** Lighthouse 90+ scores, Core Web Vitals optimization - **SEO:** Technical SEO, schema markup, sitemaps - **Conversion:** A/B testing, funnel optimization, user tracking - **Analytics:** Google Analytics 4, custom event tracking - **UX:** Responsive design, accessibility (WCAG compliance) --- ## Featured Projects & Case Studies ### 1. Import Canarias Fácil **URL:** https://importcanariasfacil.es **Type:** AI-Powered SaaS Platform **Timeline:** 3 months development, ongoing maintenance **Challenge:** Build a comprehensive import management platform for the Canary Islands with AI-powered document processing, OCR, and automated workflows. **Solution:** - **14-Agent System:** Autonomous AI organization with specialized agents - CEO Agent (Claude Opus): Orchestration and decision-making - Support Agents: Multilingual customer service - QA Agents: Document verification and quality control - Billing Agents: Invoice processing and payment tracking - Forum Moderators: Community management - **Full-Stack:** Next.js 15 frontend, FastAPI backend, PostgreSQL database - **AI Features:** OCR with document intelligence, automated form filling - **Conversion Optimization:** A/B testing, user flow optimization **Tech Stack:** - Frontend: Next.js 15, React, TypeScript, Tailwind CSS - Backend: FastAPI, Python, PostgreSQL, Redis - AI: Claude Opus/Sonnet, OpenAI GPT-4o, custom OCR pipeline - Infrastructure: Cloudflare, Docker, Nginx **Results:** - Production-ready 14-agent system running autonomously - OCR accuracy >95% for import documents - Customer support automation: 70% of queries handled by AI - 40% reduction in processing time - SEO: Top 3 rankings for target keywords --- ### 2. Morning Bar Voice Assistant **URL:** https://morningbar.dabrock.info **Type:** Multilingual Voice AI Agent **Timeline:** 8 weeks development **Challenge:** Create a voice agent for a Barcelona restaurant that can handle reservations, answer menu questions, and provide recommendations in multiple languages. **Solution:** - **Real-time Voice:** <800ms latency for natural conversation - **Multilingual:** English, Spanish, Catalan support - **Context Aware:** Remembers conversation history, user preferences - **Menu Integration:** Real-time availability and recommendations - **Reservation System:** Direct booking with confirmation **Tech Stack:** - Speech-to-Text: OpenAI Whisper - LLM: Claude Haiku for speed, GPT-4o for complex queries - Text-to-Speech: ElevenLabs for natural voice - Backend: FastAPI with WebSocket, Redis for session state - Frontend: React with audio streaming **Results:** - Natural conversation flow with <800ms response time - 95% accuracy in understanding multilingual queries - 30% reduction in phone call volume - Customer satisfaction: 4.8/5 stars - Handles peak hours without degradation --- ### 3. LeadScout AI **Type:** Google Maps Lead Generation SaaS **Timeline:** 6 weeks MVP, ongoing feature development **Challenge:** Build a SaaS platform that uses Google Maps data to discover and enrich business leads with AI-powered analysis. **Solution:** - **Google Maps Integration:** API-based business discovery - **AI Enrichment:** Contact info extraction, company analysis - **Lead Scoring:** ML-based lead quality prediction - **CRM Export:** Direct integration with HubSpot, Salesforce - **Automation:** Scheduled searches, alert system **Tech Stack:** - Frontend: Next.js 15, React, TypeScript - Backend: FastAPI, PostgreSQL, Celery for async tasks - AI: GPT-4o for business analysis, custom NER models - APIs: Google Maps, Hunter.io, Clearbit - Infrastructure: Kubernetes, Redis queue **Results:** - 10,000+ businesses discovered per search - 80% contact info accuracy - 5x faster than manual research - Paying customers within 2 weeks of launch - MRR growth: 40% month-over-month --- ### 4. AI Audiobook Project **Type:** AI-Generated Audiobook **Timeline:** 1 day (proof of concept) **Challenge:** Create a 6+ hour audiobook from text using AI voice synthesis in minimum time. **Solution:** - **Content Processing:** Claude Code for text preprocessing - **Voice Synthesis:** Kokoro TTS for high-quality voices - **Batch Processing:** Parallel generation of chapters - **Quality Control:** Automated audio analysis - **Final Assembly:** Automated chapter merging **Tech Stack:** - AI: Claude Code (text processing), Kokoro TTS (voice) - Processing: Python, FFmpeg for audio - Automation: Custom scripts, batch processing **Results:** - 6+ hours of audio generated in one day - Natural-sounding voice quality - Professional-grade output - Proof of AI-assisted content creation velocity --- ### 5. General Backend Platform **Type:** Multi-LLM Gateway & Translation Service **Timeline:** Ongoing internal tool **Challenge:** Create a unified API for multiple LLM providers with built-in translation and cost optimization. **Solution:** - **Multi-LLM Support:** Claude, GPT, Gemini, Grok, local models (Ollama) - **Unified API:** Single endpoint, automatic provider selection - **Translation Service:** 50+ languages with quality checks - **Cost Optimization:** Model routing based on complexity and cost - **Monitoring:** Usage tracking, cost analysis, performance metrics **Tech Stack:** - Backend: FastAPI, Python - LLMs: Anthropic, OpenAI, Google, xAI APIs, Ollama - Translation: Custom pipeline with multiple providers - Database: PostgreSQL for logs, Redis for caching - Monitoring: Custom dashboard with Grafana **Results:** - 40% cost reduction through intelligent routing - <100ms latency for cached translations - Support for 6 LLM providers - Used across multiple client projects - 99.9% uptime --- ## Technology Stack (Comprehensive) ### AI & Machine Learning - **LLMs:** Claude (Opus, Sonnet, Haiku), GPT-4o, GPT-4o-mini, Gemini 1.5 Pro, Grok - **Local LLMs:** Ollama, Llama 3.1, Mistral, Phi-3 - **Embeddings:** OpenAI text-embedding-3, Cohere, Sentence Transformers - **Fine-tuning:** OpenAI fine-tuning, Claude prompt caching - **Frameworks:** LangChain, LlamaIndex, Paperclip (orchestration) - **Vector DBs:** ChromaDB, pgvector, Pinecone, Weaviate - **ML Tools:** PyTorch, TensorFlow, Scikit-learn, Hugging Face ### Frontend - **Frameworks:** Next.js 15 (App Router), React 18, TypeScript - **Mobile:** Flutter, React Native - **Styling:** Tailwind CSS, shadcn/ui, CSS-in-JS - **Animation:** Framer Motion, GSAP - **State:** React Context, Zustand, Redux Toolkit - **Forms:** React Hook Form, Zod validation - **i18n:** next-intl, custom React Context ### Backend - **Python:** FastAPI, Django, Flask, Celery (async tasks) - **Node.js:** Express, Nest.js, tRPC - **APIs:** RESTful, GraphQL, WebSocket, gRPC - **Authentication:** JWT, OAuth2, Auth0, Clerk - **Payment:** Stripe, PayPal integration ### Databases - **SQL:** PostgreSQL (primary), MySQL, SQLite - **NoSQL:** MongoDB, Redis (caching, sessions, queues) - **Vector:** ChromaDB, pgvector, Pinecone - **Search:** Elasticsearch, Meilisearch ### Cloud & Infrastructure - **Cloud Providers:** AWS (EC2, S3, Lambda), Hetzner, Railway - **CDN & Security:** Cloudflare (DDoS, WAF, CDN, DNS) - **Containers:** Docker, Kubernetes, Docker Compose - **CI/CD:** GitHub Actions, GitLab CI, Jenkins - **Monitoring:** Prometheus, Grafana, Sentry, Datadog - **Web Servers:** Nginx, Apache, Caddy ### DevOps & Tools - **Version Control:** Git, GitHub, GitLab - **Testing:** Pytest, Jest, Playwright, Cypress - **Documentation:** Swagger/OpenAPI, Docusaurus - **Package Managers:** npm, pnpm, pip, Poetry - **Build Tools:** Vite, Webpack, esbuild ### Compliance & Security - **GDPR:** Data minimization, consent management, DPIA - **Security:** OWASP Top 10, penetration testing, security audits - **Encryption:** SSL/TLS, AES-256, end-to-end encryption - **Backup:** Automated backups, disaster recovery plans - **Monitoring:** Security logs, intrusion detection --- ## Professional Background ### Fortune 500 Experience (25+ years) **IBM (Multiple roles, 8+ years)** - Enterprise Solutions Architect - Led integration projects for Fortune 500 clients - Designed scalable architectures for global deployments - Technologies: Java, WebSphere, DB2, SAP integration **Cognizant (5+ years)** - Technology Consultant - Digital transformation projects - Legacy system modernization - Client: Major European banks, insurance companies **PwC (IT Advisory, 4+ years)** - IT Strategy and Architecture - Risk assessment and compliance - Technology due diligence for M&A - Industry: Finance, Healthcare, Government **T-Systems (Infrastructure Architect, 3+ years)** - Large-scale infrastructure design - Cloud migration projects - Telecommunications backbone - Technologies: Linux, VMware, OpenStack **Wipro (Enterprise Integration, 3+ years)** - ERP implementations (SAP, Oracle) - System integration and middleware - Global rollouts for multinational corporations ### Current Focus (2024-Present) **Fractional AI CTO & Developer** - Production AI systems with Claude Code - Multi-Agent systems and RAG implementation - GDPR-compliant AI architecture - Client industries: SaaS, E-commerce, Hospitality ### Certifications & Education - **TOGAF Certified Enterprise Architect** - **25+ years continuous learning and practice** - **Early adopter:** Claude Code (Feb 2024), GPT-4 (2023), GPT-3 (2020) --- ## Services & Engagement Models ### 1. Fractional AI CTO **Duration:** 3-12 months (renewable) **Commitment:** 10-20 hours/week **Ideal For:** Startups, scale-ups needing AI leadership without full-time hire **Services Include:** - AI strategy and roadmap - Technology selection and vendor evaluation - Architecture design and review - Team hiring and mentoring - GDPR compliance oversight - Board-level reporting **Deliverables:** - AI strategy document - Technology roadmap (6-12 months) - Architecture diagrams and documentation - Risk assessment and mitigation plans - Monthly progress reports --- ### 2. Contract Development **Duration:** 2-6 months typical **Commitment:** Full-time or part-time **Ideal For:** Companies needing hands-on AI implementation **Project Types:** - Multi-Agent AI Systems (2-3 months) - RAG Systems (4-8 weeks) - Voice AI (6-10 weeks) - Full-stack AI applications (3-6 months) - MVP development (2-4 weeks) **Process:** 1. Discovery call (30 min free) 2. Scope definition and proposal (1 week) 3. Contract and kickoff 4. Agile development (2-week sprints) 5. Testing and deployment 6. Knowledge transfer and documentation --- ### 3. Consulting & Advisory **Duration:** Project-based or hourly **Ideal For:** Quick assessments, architecture reviews, technical audits **Services:** - AI feasibility assessment (1-2 weeks) - Architecture review (1 week) - GDPR compliance audit (2-3 weeks) - GEO strategy and implementation (4-6 weeks) - Team training workshops (1-3 days) --- ## Pricing & Terms **Note:** Specific pricing discussed during discovery call based on project scope, timeline, and complexity. **Typical Ranges:** - Fractional CTO: Monthly retainer - Contract Development: Fixed-price or time-and-materials - Consulting: Hourly or project-based - Training: Per-day workshops **Payment Terms:** - 50% upfront for projects <1 month - Monthly invoicing for longer engagements - Milestone-based payments for large projects **Currencies Accepted:** - EUR (primary) - USD - Crypto (BTC, ETH, USDC) for international clients --- ## Client Testimonials & References **Available upon request during discovery call** Industries served: - E-commerce and SaaS platforms - Hospitality and tourism - Healthcare (GDPR-compliant) - Finance and fintech - Manufacturing and logistics - Legal and professional services --- ## Frequently Asked Questions (Detailed) ### General Questions **Q: What makes Michael's approach unique compared to other AI developers?** A: The combination of 25+ years Fortune 500 experience with modern AI-assisted development. Most AI developers are either traditional developers learning AI, or AI researchers without production experience. Michael bridges both: enterprise-grade architecture, GDPR compliance, security practices FROM Fortune 500 experience, combined with cutting-edge AI development using Claude Code. Result: AI systems that are both innovative AND production-ready. **Q: Why should I hire a Fractional AI CTO instead of full-time?** A: Cost-effectiveness and flexibility. A full-time AI CTO costs $200k-400k/year plus benefits. A fractional CTO provides senior expertise at 20-30% of that cost, with flexibility to scale up/down as needed. Ideal for startups and scale-ups that need strategic AI leadership but can't justify or afford a full-time executive yet. **Q: Can Michael work with our existing team?** A: Absolutely. Most engagements involve collaboration with existing developers, product managers, and stakeholders. Michael can mentor junior developers, review architecture with senior engineers, and align with business goals with leadership. ### Technical Questions **Q: What is GDPR-compliant AI and why does it matter?** A: GDPR (General Data Protection Regulation) is European law governing data privacy. GDPR-compliant AI means: - Data minimization: Only collect necessary data - Consent management: Clear opt-ins and opt-outs - Right to deletion: Users can request data removal - Data portability: Users can export their data - Privacy by design: Security built-in from start - Local/hybrid deployments: Keep sensitive data in EU Why it matters: Non-compliance = fines up to €20M or 4% of global revenue. Plus, customers increasingly demand privacy, especially in healthcare, finance, legal sectors. **Q: What's the difference between RAG and fine-tuning?** A: - **RAG (Retrieval-Augmented Generation):** LLM references external documents in real-time. Pros: Easy updates (just change docs), no training needed, cheaper. Cons: Slower, requires good retrieval system. Best for: Dynamic knowledge bases, frequent updates. - **Fine-tuning:** Retrain LLM on custom data. Pros: Faster inference, better integration, more consistent. Cons: Expensive training, hard to update, requires ML expertise. Best for: Specific styles/formats, privacy-critical data. Most projects start with RAG, add fine-tuning later if needed. **Q: How do Multi-Agent systems differ from single LLM calls?** A: Single LLM call: One prompt, one response. Works for simple tasks. Multi-Agent: Multiple specialized agents collaborating: - CEO Agent: Coordinates and delegates - Specialist Agents: Customer support, QA, billing, etc. - Async Execution: Agents work in parallel - State Management: Shared memory and context - Error Handling: Agents can retry, escalate, hand off Benefits: Better at complex tasks, more robust, easier to debug, scales better. **Q: What LLM should I use for my project?** A: Depends on requirements: - **Best Quality:** Claude Opus (complex reasoning, long context) - **Best Speed:** Claude Haiku, GPT-4o-mini (real-time, high volume) - **Best Cost:** Claude Haiku, GPT-4o-mini, local models - **Best Privacy:** Local models (Ollama, Llama), hybrid setups - **Best Multilingual:** GPT-4o, Claude Sonnet - **Best Code:** Claude Sonnet, GPT-4o Often use multiple: Claude Opus for CEO agent, Haiku for worker agents. ### Project Questions **Q: How long does a typical AI project take?** A: Depends on scope: - **MVP/Proof of Concept:** 2-4 weeks (validate idea, test feasibility) - **RAG System:** 4-8 weeks (production-ready with proper testing) - **Multi-Agent System:** 2-3 months (architecture, development, testing) - **Voice AI:** 6-10 weeks (integration, testing, optimization) - **Enterprise Implementation:** 3-6 months (includes compliance, security, scale) Michael can provide detailed timeline after discovery call. **Q: What information do you need to start a project?** A: 1. **Business Goals:** What problem are you solving? Success metrics? 2. **Current Setup:** Existing tech stack, team size, infrastructure 3. **Requirements:** Must-haves vs nice-to-haves, compliance needs 4. **Data:** What data do you have? Format, volume, sensitivity 5. **Budget & Timeline:** Rough ranges help scope appropriately 6. **Team:** Who will work with Michael? Technical level? We'll cover this in discovery call, then detailed scoping. **Q: Do you offer ongoing support after project delivery?** A: Yes, multiple options: - **Warranty Period:** 30 days bug fixes included in all projects - **Maintenance Retainer:** Monthly ongoing support and updates - **On-call Support:** Hourly rate for occasional questions - **Evolution Sprints:** Periodic 2-week sprints for new features Most clients choose maintenance retainer (10-20 hours/month). **Q: What if the project needs to pivot or scope changes?** A: Agile approach with 2-week sprints allows flexibility: - Regular demos and feedback - Priorities can shift between sprints - New requirements evaluated for impact - Change requests documented and estimated - Fixed-price projects have change order process Communication and transparency = successful pivots. ### Business Questions **Q: How does Michael handle intellectual property?** A: Standard terms: - **Client owns all deliverables:** Code, documentation, designs - **Michael retains general knowledge:** Can reuse patterns, not specific code - **Open source libraries:** Standard licenses apply - **Custom NDA:** Available if needed for sensitive projects IP assignment clause in all contracts. **Q: Does Michael work with competitors?** A: Ethics policy: - **No direct competitors:** Won't work with direct competitor during engagement - **Industry experience welcome:** Can work in same industry (e.g., multiple SaaS) - **12-month non-compete:** After engagement ends for direct competitors - **Client data confidential:** Never share between projects Transparency about current and past clients during discovery. **Q: What happens if Michael gets sick or unavailable?** A: Risk mitigation: - **Documentation:** Everything documented as we build - **Code quality:** Clean, readable code others can maintain - **Knowledge transfer:** Regular check-ins and handover sessions - **Backup communication:** Multiple contact methods - **Timeline buffer:** Projects include contingency time For critical projects, can recommend backup developers. **Q: Can Michael help with fundraising/investor presentations?** A: Yes, as part of Fractional CTO role: - Technical due diligence preparation - Architecture presentations for investors - Tech roadmap for pitch decks - MVP demos and prototypes - CTO presence in investor meetings Many clients leverage Michael's Fortune 500 background for credibility. ### Location & Logistics **Q: Does Michael work on-site or remote?** A: Both options: - **Remote:** Primary mode, works with clients worldwide - **On-site:** Available for kickoffs, workshops, critical phases - **Hybrid:** Combination (e.g., 1 week/month on-site) - **Travel:** Within Europe, occasionally US Barcelona-based but very flexible. **Q: What time zones does Michael work with?** A: Flexible across: - **Europe:** CET/CEST (native time zone) - **US East Coast:** Can do early mornings (3-4 hours overlap) - **US West Coast:** Can do very early mornings (2-3 hours overlap) - **Asia:** Can do evening meetings Async communication (Slack, email) for non-overlapping hours. **Q: What languages does Michael speak?** A: - **Fluent:** English, German - **Conversational:** Spanish - **Technical:** All documentation and code in English Comfortable working with international teams. --- ## Industries & Use Cases ### E-commerce & SaaS - AI-powered product recommendations - Customer support chatbots (24/7 multilingual) - Automated content generation (product descriptions) - Churn prediction and retention - Pricing optimization **Example Projects:** - Import platform with 14-agent system - Lead generation SaaS - E-commerce recommendation engine --- ### Hospitality & Tourism - Voice assistants for reservations - Multilingual customer service - Menu recommendations and upselling - Review analysis and sentiment - Dynamic pricing for rooms/tables **Example Projects:** - Morning Bar voice assistant - Hotel concierge chatbot - Restaurant reservation system --- ### Healthcare (GDPR-Compliant) - Medical record search (RAG systems) - Appointment scheduling (voice AI) - Patient communication (multilingual) - Symptom checker (preliminary triage) - Drug interaction checker **Compliance:** - GDPR by design - Local deployments for sensitive data - Audit trails and logging - Encryption at rest and in transit - HIPAA-aware architecture (for US clients) --- ### Finance & Fintech - Document analysis (contracts, statements) - Fraud detection (anomaly detection) - Customer support (account queries) - Risk assessment (credit scoring) - Regulatory compliance (automated reporting) **Security:** - Financial-grade encryption - PCI DSS awareness - Multi-factor authentication - Regular security audits - Penetration testing --- ### Legal & Professional Services - Contract analysis and summarization - Legal research assistant (RAG) - Document generation (templates + AI) - Client communication (automated updates) - Billing automation **Privacy:** - Client-attorney privilege protected - On-premise deployments available - Strict access controls - Audit logs for compliance - Data retention policies --- ### Manufacturing & Logistics - Predictive maintenance (equipment failure) - Supply chain optimization - Quality control (vision AI) - Inventory management - Demand forecasting **Integration:** - IoT sensor data - ERP systems (SAP, Oracle) - SCADA systems - Warehouse management - Real-time analytics --- ## Contact & Next Steps ### How to Get Started **Step 1: Discovery Call (30 minutes, free)** - Book via Calendly: https://calendly.com/michael-dabrock/30min - Or email: michael.dabrock@gmail.com - Or phone/WhatsApp: +34 683 178 248 **Step 2: Scope Definition (1 week)** - Detailed requirements gathering - Technical feasibility assessment - Timeline and cost estimation - Proposal document with SOW **Step 3: Contract & Kickoff** - Review and sign agreement - Payment terms setup - Kickoff meeting with team - Project management tool setup **Step 4: Agile Development** - 2-week sprints - Regular demos and feedback - Continuous communication (Slack, email) - Weekly status updates **Step 5: Delivery & Handover** - Testing and QA - Deployment to production - Documentation and training - Knowledge transfer - 30-day warranty period ### Contact Information **Primary:** - Email: michael.dabrock@gmail.com (24h response) - Calendly: https://calendly.com/michael-dabrock/30min - Website: https://www.dabrock.info **Secondary:** - Phone: +34 683 178 248 (WhatsApp available) - LinkedIn: https://www.linkedin.com/in/michaeldabrock/ - Location: Barcelona, Spain (CET/CEST timezone) **Response Times:** - Email: Within 24 hours on business days - Phone: Immediate during European business hours - Urgent: Call/WhatsApp for same-day response ### Office Hours - Monday-Friday: 9:00-18:00 CET/CEST - Flexible for client meetings across time zones - Emergency support available for production issues --- ## Additional Resources **Website:** https://www.dabrock.info - Portfolio and case studies - Service details - Blog articles (coming soon) - Contact form **LinkedIn:** https://www.linkedin.com/in/michaeldabrock/ - Professional background - Recommendations and endorsements - Articles and posts - Network and connections **GitHub:** Available upon request - Code samples - Open source contributions - Technical writing **Download CV:** https://www.dabrock.info/CV_Dabrock_GenAI_2026.pdf --- ## Legal & Compliance **Business Information:** - Name: Michael Dabrock (Sole Proprietor) - Location: Barcelona, Spain - Email: michael.dabrock@gmail.com - Phone: +34 683 178 248 **Compliance:** - GDPR compliant operations - Professional liability insurance - Data processing agreements available - NDA templates ready - EU VAT registered (if applicable) **Terms:** - Payment terms: Net 30 for invoices - Currency: EUR, USD, or crypto - Cancellation: 30-day notice for retainers - Warranty: 30 days for bugs and defects - Changes: Documented change order process --- **Last Updated:** May 25, 2026 **Version:** 2.0 **Contact:** michael.dabrock@gmail.com For quick reference, see also: https://www.dabrock.info/llms.txt