Heroku Experts in Germany

• Designed, built, and launched an internal event planning web application used by over 100 department leads for a large event, despite having no dedicated testing phase.

• Ensured smooth, failure-free operation during first production use, leading to the tool being adopted for future events.

• Automated catering calculations and related workflows, significantly reducing email communication and manual computation effort for meal planning.

• Managed deployment and hosting on a Linux server using Coolify, including application setup and runtime operations.

• Hired and guided a communication designer on UX while independently owning all technical decisions and implementation.

• Complete greenfield rebuild across the whole stack — built AI-native: backend in Go and NestJS, PostgreSQL (CNPG) on K3s with GitOps/Terraform; frontend on Angular 22, zoneless.
• Orchestrated coding agents (e.g. Claude Code, Cursor) across the entire lifecycle — architecture, implementation, testing, reviews, documentation — driven by Specification-Driven Development (SDD).
• “Bruno” — LLM commentator persona backed by RAG and MCP for a personality that stays consistent across all generations (match previews, post-match reports, his own virtual bets).

Angular 22 (zoneless, without Zone.js), Claude Code, Claude Code Skills, CNPG, Cursor, Design Tokens (Spec for Code), Docker, Gherkin, Git, GitLab, GitOps, Go, Google Gemini, Grafana, Hetzner Cloud, K3s, Keycloak, Kubernetes, Lighthouse, LLM Integration, Model Context Protocol (MCP), NestJS, Node.js, NPM, Playwright, PostgreSQL, Prometheus, RAG, REST, Specification-Driven Development (SDD), Structured Outputs, Terraform, TypeScript, Vitest

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• Goal: Replace an outdated Shopware system with a scalable, future-proof solution based on microservices and a headless architecture.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

• Designing new apps as well as enhancing and running 29 Angular apps for digital claims in an Nx monorepo
• Maintaining and improving a shared component library with ~300 libraries for multiple product teams
• Migrating all apps to a new design system including its component library and systematic refactoring
• Developing and maintaining the CI/CD pipelines (Jenkins, Azure DevOps, Terraform, AWS)
• Managing releases independently including branch handling, versioning, PR coordination and production deployment
• Implementing and maintaining tracking (Adobe Analytics)
• Ensuring accessibility according to BFSG/WCAG
• Test-driven development (TDD) with Jest and Cypress
• Code reviews, mentoring and setting up best practices in the team
• Technologies: TypeScript, Angular 16-20, RxJS, NgRx, Nx (Monorepo), npm, HTML, (S)CSS, Storybook, Jest, Cypress, Cucumber, Husky, Node.js, Git, AWS, Azure DevOps (Repos & Pipelines), Jenkins, Terraform, TDD, BFSG, WCAG, Nexus, IntelliJ, Adobe Analytics

• Enhanced the AI model monitoring solution to allow comparative analysis of model versions and full tracking of input variables with relative drift metrics for complete monitoring.
• Developed a custom LLM solution to automate the certificate of incoming goods of supply and support downstream analysis.
• Enhanced Digital Twin AI models to support model validation.

Skills: Python, Statistical Computation, Large Language Models (LLM), Machine Learning Engineering, Natural Language Processing (NLP), Data Wrangling, Data Visualization, Statistical Evaluation.

Tools: Python programming, Snowflake, Databricks, Microsoft Powerapps, Powerautomate, PowerBI, Scipy, Seaborn, Scikit-Learn.

• Environment: AWS, Ruby on Rails, GraphQL, React Native
• Penetration test for Backend, Android-App and iOS-App

• Consultant for system architecture, AI agents & integration, coach for data & process logic, Graph-RAG approaches, security and data protection.
• On-premise AI solutions with high compliance and performance requirements.
• Architecture decisions, operational setup, strategic prioritization & deployment.
• Technologies: LiveKit JS SDK, LiveKit Agents, Web Audio API, JS, AudioWorklet, Loki, vLLM, Zscaler, Docker, Neo4j, MySQL, Python.
• Models: GPT-OSS 20B, Whisper large v3 turbo, Qwen3-TTS.

• Analysis of existing microservice structures and integration into the event-driven architecture
• Design and implementation of prototypes
• Introduction of structured workflows and embedding in a solid testing strategy
• Team: small specialized team (3-5 people) from analysis to implementation readiness
• Documentation of architectural decisions and definition of interfaces
• Integration of the event-driven pipeline into the existing landscape
• Technologies: Kafka, Docker, Microservices, Event-Driven Architecture, Java, Liquibase

• Strategic consulting on marketing funds (WKZ) and retail media, focusing on monetization opportunities and data-driven business models
• Conducting a portfolio analysis of existing WKZ measures to assess the revenue and ROI impact of WKZ investments on supplier performance
• Potential analysis of digital WKZ products and initiatives to identify growth and efficiency levers
• Preparing and presenting the results to management and deriving a strategic move-forward plan
• Designing and facilitating several executive workshops to develop a holistic retail media vision and transformation roadmap
• Defining and prioritizing retail media business cases for data-driven evaluation of investment options
• Developing a technical target architecture considering heterogeneous ERP infrastructures and designing an integrated loyalty program
• Designing change management, including impact analysis on organizational structures and processes
• Creating and presenting C-level decision templates
• Establishing a clear retail media governance structure and technical foundation for data-driven marketing
• Developing a roadmap for implementation in 2026

• Responsible for setting up and configure AWS Organizations and Control Tower on company's master organizational account
• Administer and maintain various AWS services, including EC2, S3, RDS, Lambda, VPC, IAM, etc.
• Monitor system performance, availability, and capacity planning to ensure scalability and reliability
• Implement and maintain infrastructure as code (IaC) using tools like CloudFormation or Terraform
• Work closely with development and operations teams to automate deployment processes using CI/CD pipelines (e.g., Jenkins, GitLab CI/CD)
• Develop and maintain scripts for automating routine tasks and infrastructure provisioning
• Implement automation for monitoring, logging, and alerting to ensure timely incident response
• Implement and enforce security company guidelines and best practices for AWS environments
• Configure and manage AWS security services such as AWS Identity and Access Management (IAM), AWS WAF, AWS Shield, etc.
• Collaborate with the Security Team to improve and update security policies and posture
• Collaborate with development teams to provide agile deployments and optimize application performance and reliability on AWS
• Provide technical support and guidance to internal teams on AWS-related issues and best practices
• Participate in cross-functional projects to enhance overall infrastructure and operational efficiency

• Implemented asynchronous communication with Kafka Streams to update user and group data in microservices
• Conducted load and performance tests with JMeter to ensure system stability
• Migrated microservices to current versions of Spring Boot libraries for better maintainability and security
• Optimized Hibernate queries to improve database efficiency
• Deployed new microservices on AWS infrastructure using Kubernetes for scalability and fault tolerance
• Created OpenSearch dashboards to monitor and analyze system metrics
• Integrated Azure Entra user accounts via SCIM by implementing all necessary REST endpoints
• Improved response times through asynchronous processing in separate threads for better performance
• Enhanced Android device logging capabilities for easier troubleshooting
• Refactored database schema with Flyway for consistent and traceable migrations
• Updated AWS Cognito user settings to optimize user management
• Offloaded resource-intensive tasks from the main microservice into separate Docker containers to boost performance
• Used technologies: Java, JavaScript, Kotlin, Angular, Maven, Spring Boot, Spring Security, JUnit, Tomcat, Spring Data, Spring Cloud, Hibernate, Jackson, microservices, Docker, Kubernetes, OpenSearch, Grafana, OpenAPI, SonarQube, PostgreSQL, MySQL, JMeter, Kafka, Flyway, AWS, Azure, Jira, Confluence, Agile, Scrum, SAFe

Further development of a software solution for managing test requests and test notifications according to §106d SGB V for the Hamburg Association of Statutory Health Insurance Physicians.

• Developed numerous features, performance optimizations, refactoring, error analysis
• Refactored the dev container setup
• Optimized the GitLab CI build pipeline
• Contributed optimizations to the team workflow

• Expansion and maintenance of existing custom information systems based on Django
• Technologies used: Django, Django REST Framework, MySQL, Docker

• Collaborated with stakeholders to gather requirements and use cases for new features, made implementation plans, and tracked progress.
• Improved internal links for more than 60,000 public pages by unifying link texts.
• Increased conversion of new talents by 30% without significantly dropping their quality.
• Reduced the cycle of blog domain creation from two months of engineering work to a process handled by content editors.
• Created a light, adjustable Hanami CLI application to prepare data for the Grafana team’s KPI dashboard.
• Generated content sections of public pages with data from Kafka and BigQuery, enabling almost real-time data on public pages.
• Coordinated with cross-functional teams on high-priority tasks, addressing technical challenges and balancing multiple responsibilities to meet project goals.
• Delivered urgent updates for critical website components, ensuring timely delivery and smooth functionality under tight deadlines.
• Assisted teammates with Docker, service deployment, and backend implementation questions.