Customer Data Platform Experts in Germany

• Managed end-to-end data workflows for LCA and carbon footprint assessments, including data collection, validation, structuring, and LCI modeling for metal alloys, ensuring high data quality and traceability.
• Developed a basic Excel automation tool to simplify carbon footprint calculations of metal alloys, replacing repetitive modelling in the software that previously took several hours.
• Communicated environmental impact results through quantitative analysis, visualizations and reports to support the broader project strategy.
• Performed environmental hotspot and scenario analysis to identify key impact drivers and assess opportunities for emissions reduction.

• Concept & IT implementation of inbound B2C campaigns, BPM process documentation
• Cross-departmental implementation of multiple whitepapers / guides
• Setup of the customer journey with MS Dyn365 / CRM: forms, landing pages, campaigns
• Project controlling, process documentation, testing and training / coaching, analytics reports
• Hands-on implementation & on-time launch of all campaigns for digital new customer acquisition

agentic-engineer.online is my publicly testable live demo and at the same time the platform where I show my work. Originally created as a recruitment trial task, I have since continued to run it as my own demo, learning, and product project — on a Hetzner VPS behind a Cloudflare tunnel, through a multi-stage AI-orchestrated deploy pipeline with snapshot rollback. If a deploy step breaks, the system falls back to the last clean snapshot, the script is adjusted, the test repeated — empirical, test-driven, without hand tuning.

• Technically behind it: Python and FastAPI, an OpenRouter model cascade, SQLite persistence, and Cloudflare edge tuning.
• I am the developer and the strictest customer of my own AI work in one person — what started as a prototype has become a tool I use every day and against which I test my own products.

• Responsibilities:
• Collaborate with Product Owner to define functional and technical requirements
• Quarterly Roadmap definition with Executives and Product Owner
• Fix bug and develop new features in Go and Typescript
• Manage and mentor full stack engineering team
• System Design in a micro-service environment
• Guarantee application security
• Improve engineering efficiency and deliverable quality
• Support automation with agentic-AI workflow
• Achievements:
• Improved security and data privacy awareness in the team with workshops around best practices, security measures and attacks types
• Conceptualized, designed and successfully released a new real-time chat application for our partners improving partner/company relationship and collaboration efficiency in Go and Typescript
• Reduced meeting hours for engineers by restructuring projects preparation workflow in collaboration with product team

Re-platforming an e-commerce shop to a microservice architecture

• Goal: Replace an outdated Shopware system with a scalable, future-proof solution based on microservices and a headless architecture.
• Led a full architecture consulting process and defined the microservice boundaries based on a headless architecture with commercetools as PIM/OMS and Next.js as the frontend solution.
• Developed and integrated several decentralized services (e.g. internationalization, personalization).
• Took over the configuration of central third-party systems such as Contentstack and Algolia.
• Built a stable cloud infrastructure on Google Cloud with monitoring via Grafana.

Technologies: commercetools, Next.js, Contentstack, Algolia, Google Cloud, Grafana, TypeScript, Shopware

Development of an international e-commerce platform

• Goal: Build a high-performance, user-friendly and international e-commerce platform.
• Defined a scalable, high-performance and maintainable software architecture that served as the foundation for the platform's international expansion.
• Selected a best-of-breed technology stack that enabled the development of an industry-leading shop and reduced development effort for new features by 30%.
• Ensured seamless integration of critical third-party systems (PIM, CRM, ERP) to guarantee end-to-end business processes and a consistent data foundation.
• Implemented comprehensive tracking and analytics tools for continuous performance monitoring and optimization of the customer journey.

Technologies: React.js, Next.js, commerceTools, Algolia, Salesforce, Heroku, CI/CD, PHP, Google Analytics

AI-powered personalization and customer data platform in e-commerce

• Goal: Replace static content with a dynamic, AI-based personalization strategy to increase user relevance and automate marketing processes.
• Designed and built a customer data platform to aggregate and combine customer and analytics data from distributed sources.
• Implemented automated categorization of customer profiles as the basis for delivering personalized content and product recommendations in the Shopware frontend.
• Developed a semantic similarity algorithm based on Python and OpenAI to calculate product and content similarity from user profiles.
• Built the technical connection to retail media platforms to control external ad placements along the customer journey.

Technologies: Shopware 6, Python 3, OpenAI, Elasticsearch, PHP, Symfony, Twig

Shopware tracking & consent architecture (GDPR) for 4 online shops

• Goal: Build a unified, GDPR-compliant tracking infrastructure across multiple shops with central consent management across several Shopware instances.
• Defined a comprehensive tracking guide and developed a modular architecture compatible across multiple Shopware versions.
• GDPR-compliant integration of Usercentrics and Adobe Launch through a central tag manager.
• Full tracking setup (page, order, product, user) incl. partner-specific tracking (Emarsys, Channelpilot, etc.).
• Detailed event and error tracking to proactively identify technical drop-offs.

Technologies: Shopware, Adobe Analytics, Usercentrics, Tag Manager, PHP, MySQL, GDPR

AI/LLM search engine with RAG and hybrid search (Python, Elasticsearch)

• Goal: Build an AI-powered search engine with RAG architecture and hybrid search to accurately match service providers from over 500,000 company records.
• Developed an automated data pipeline (web scraping + LLM) that continuously crawls company data and converts it into structured formats using LLMs.
• Implemented a RAG workflow incl. vectorization for semantic search to increase search accuracy and relevance.
• Configured and fine-tuned Elasticsearch for hybrid search (vector + keyword search).
• End-to-end development of backend API, frontend and deployment on live servers.

Technologies: Python, FastAPI, Elasticsearch, LLM, RAG, React, Docker, Web Scraping

AI/computer vision system (Python, ML) – object detection under difficult conditions

• Goal: Develop an AI-powered recognition system with reliable performance even in rain, fog, snow and darkness.
• Built and annotated a large training dataset incl. difficult conditions.
• Trained a YOLO-based object detection model; carried out systematic error analysis and improved data quality and preprocessing.
• Coordinated with stakeholders through regular status updates.

Technologies: Python, Machine Learning, TensorFlow, PyTorch, YOLO, OpenCV

• Launched and leading a new venture in consulting & digital transformation.
• Supporting clients in transforming their organisations, scaling growth strategies, building digital operating models, and creating future proof organisations.

• Strategic rebuild and initial integration of the B2B CRM as the basis for a scalable and sustainably automated lead management process
• Building and optimizing CRM processes and CRM campaign management לאורך the entire customer lifecycle
• Developing, planning, and implementing lead generation strategies for trade fairs, roadshows, partner sites, and other relevant B2B touchpoints
• Designing and modeling differentiated customer journeys and workflows for different target groups, touchpoints, and phases of the customer lifecycle
• Designing first-touch and branding flows to systematically move new contacts into automated CRM journeys
• Building lead nurturing processes for automated qualification, activation, and further development of leads until they are ready for sales
• Designing and implementing marketing automations to reduce manual processes and scale the delivery of relevant content
• Developing and optimizing automated lifecycle campaigns based on user behavior, interactions, interests, and lead status
• Campaign management for email marketing and B2B communication, including editorial newsletters, trigger and automation emails, as well as ad hoc campaigns
• Responsibility for newsletter sign-ups as well as optimization of the underlying processes and consent journeys
• Consent management and optimization of opt-in processes as the basis for compliant and scalable CRM communication
• Planning and implementation of ad hoc campaigns including A/B testing as well as continuous optimization of content, sending logic, and conversion
• Analysis and evaluation of CRM performance and derivation of specific measures to increase engagement, lead quality, and conversion
• CRM strategy consulting and workflow modeling with a focus on automation, scalability, and a consistent customer experience
• Technical setup and structuring of data instances as well as coordination and support of data migrations
• Optimization of data and system processes as the basis for automated and target-group-specific CRM communication
• Internal and external stakeholder management as well as coordination of interfaces and external agencies
• Technical project management from strategic concept development through implementation to analysis and continuous optimization

• Ongoing support and further development.

• Workshop preparation and facilitation for the BMW digital team to plan the Matko Cockpit product delivery for the second half of the year.

• Team building and preparation of the Matko Cockpit product delivery roadmap.

• Stakeholder alignment and workshop design.

• Managing the workshop agenda, identifying focus topics, and topic prioritization.

• Review of team sentiment and capturing impressions.

• Identification, summary, and documentation of action items.

• Methodologies used: Ice Breaker, Brain Storming, Story Points, Magic Estimation, Hypothesis Statement, Problem Statement, Dot Voting, and Parking Lot.

• Integrated data from various sources into the Datawarehouse using Microsoft SQL Server, ensuring data integrity and optimizing performance
• Developed and implemented multiple data visualization solutions in PowerBI, Excel, and Looker Studio, focusing on scalability and efficiency
• Managed close stakeholder relationships, ensuring consistent communication and understanding of data needs
• Conducted thorough requirement analysis to align with business objectives
• Led cross-functional teams to deliver data-driven projects on time

• Management of digital business
• Design, build and run solutions based on ubiquitous technologies

• Architected and built a GenAI-based automated asset-generation tool for social media campaigns using Nano Banana and Python. It takes a campaign brief, target audience, and two products as input, generates optimized prompts for image and text creation, and uses functions for text positioning, visually appealing overlays, resizing, and structured uploads to AWS S3.
• Engineered and built a multi-agent news intelligence platform with specialized roles including retriever agents (Tavily web scraping), synthesizer agents, and Claude as curator/orchestrator, designing autonomous agent collaboration patterns using LangChain and RAG.
• Built an autonomous customer service agent using n8n and LLMs, delivering end-to-end support automation with transparent reasoning, governance controls, and scalable workflow orchestration using Python and vector databases.
• Developed a financial validation engine featuring ML-powered anomaly detection for invoice plausibility, compliance automation, and risk mitigation using TensorFlow and SQL.
• Created a cost optimization application using OCR, AI, Pandas, and NumPy for data analysis to identify cost optimization potential.

• Strategic marketing and IT consulting with a focus on CRM
• Consulting for companies after buyout and restructuring of the business (eCommerce, marketing, IT, product management) in retail, automotive, DIY, building materials, TIMES, and tourism
• Strategy development for marketing, sales, and digital strategy, among other things
• Running IT tenders and implementation (ERP, CRM, POS, eCom, PIM, CMS, DAM)
• Implementation and data integration of CRM in marketing including loyalty program and campaigns
• Support for pitches for IT systems, implementation service providers, and agencies
• Development of omni-channel sales campaigns (online and offline) including customer journey and definition of insights and channels
• International scaling of business models
• Processes, organization, setup, and optimization of agile structures
• Development of SEO/SEA/content and CRM processes and structures
• Building marketing structures and strategies

• Configure and customize Salesforce Marketing Cloud, Braze, and Data Cloud to meet client-specific requirements, ensuring seamless deployment and scalability
• Develop and maintain custom APIs, automation workflows, SQL queries, Liquid Script, AMP script, and SSJS scripts for data processing, personalization, and dynamic content
• Design and implement multi-channel campaigns and customer journeys across email, SMS, push notifications, and in-app messaging
• Build and maintain integrations with CRM systems, analytics platforms, data warehouses, and third-party tools using REST/SOAP APIs and connectors
• Develop data models, ETL processes, and pipelines to synchronize data across systems, enabling a unified customer view and real-time engagement
• Optimize platform performance by implementing error handling, logging, and monitoring mechanisms
• Provide development support for campaign setup, deployment, and monitoring
• Optimize customer journeys and automation workflows using Journey Builder, Audience Builder, and Automation Studio
• Conduct A/B testing, performance analysis, and reporting to enhance campaign effectiveness and ensure maximum ROI
• Design and maintain data extensions, segmentation strategies, and audience targeting rules for effective customer communication
• Leverage Data Cloud capabilities to unify customer profiles, enable predictive analytics, and personalize customer interactions
• Act as a technical SME, providing support for complex issues related to platform configuration, integrations, and campaign execution
• Troubleshoot API integrations, scripting errors, automation failures, and data synchronization issues
• Collaborate with vendors and internal teams to resolve critical issues and deploy fixes
• Establish development standards, reusable templates, and best practices to ensure consistency and scalability
• Document technical designs, workflows, configurations, and troubleshooting guides
• Conduct training sessions and knowledge transfers to empower internal teams and clients
• Develop custom dashboards and performance reports to track campaign metrics and data trends
• Stay updated with Salesforce Marketing Cloud, Braze, and Data Cloud releases and industry trends
• Evaluate and implement new tools and AI-powered solutions for predictive analytics, segmentation, and personalization