AngularJS Experts

• Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
• Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
• Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
• Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
• Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
• Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
• Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka

• Ride-sharing and bus platform, live and fully functional. Backend with Spring Boot 4.1 on Java 21, PostgreSQL with Flyway, and Testcontainers integration tests. Hosted in my own AWS account (ECS Fargate, ALB, ECR, IAM Least-Privilege) with CI/CD via GitHub Actions and OIDC federation without static credentials. Development fully AI-supported with Claude Code, including custom skills and project-specific memory. Spring Boot · Java 21 · PostgreSQL · Flyway · Docker · AWS ECS/ALB/ECR · CI/CD · GitHub Actions · Claude Code

Software engineering and integration consulting for enterprise clients, with a focus on backend development, APIs, system integration, and event-driven architectures. Currently developing and evolving a recruitment and staffing platform using Elixir and RabbitMQ, including asynchronous, event-driven communication and integrations with external recruitment and staffing platforms.

• Led the end-to-end architecture and migration of a legacy on- premise IoT monitoring system to a cloud-native Azure platform within a 17-member development team
• Designed and implemented a scalable microservices architecture (Java 21, Spring Boot, Kubernetes, Azure Services), decoupling IoT data streams and eliminating legacy system bottlenecks
• Defined technology stack, mentored developers, and orchestrated cross-functional teams in 4 countries to ensure high-quality delivery and alignment with architectural standards
• Drove requirements engineering and system redesign, removing years of technical debt and introducing event-driven processing and automated workflows
• Key Achievements
• Increased system stability and uptime by ~10x, eliminating need for 24/7 DevOps intervention
• Reduced hosting costs by ~80% (5x savings) through cloud optimization
• Improved performance and scalability, enabling stable handling of high-volume IoT data streams
• Delivered successful zero-disruption migration from on-prem to cloud, with strong user satisfaction and reliability from day one

• Spearheaded the company's technical vision, ensuring product-market fit and customer-centric product development
• Cultivated strong customer relationships to gather feedback and refine product offerings
• Led technical team of 4 FTEs in developing and integrating robust APIs with e-commerce and accounting platforms
• Championed agile methodologies, adapting swiftly to market and customer requirements
• Raised funding from renowned angels and early stage ventures in Germany

• 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

• Configured Topics, Microsites into rich content portal widgets, Content Library, landing pages and automated client portal data sync, reducing manual effort by 80% and elevating self-service engagement.
• Architected optimal display across devices and varying resolutions to enhance user accessibility and experience.
• Set up and customized Azure VM integration by utilizing Catalog Items, PowerShell scripting and workflow orchestration.
• Analyzed and translated business requirements into scalable solutions, leveraging ServiceNow scripting to enhance platform functionality and elevate user experience.

Key ServiceNow Skills: Service Portal, Widget Development, Catalog Items, PowerShell Scripting, Workflow Orchestration, Content Management.

• Developed an accessible, responsive website based on Figma designs for a major sports event in compliance with WCAG, BITV and EN 301 549
• Planned and set up the tool stack with Vite, Playwright, Docker and GitLab CI
• Worked on two existing projects (Vue.js & Nuxt), focusing on bug fixing, accessibility audits and developing new features
• Collaborated with Design and QA to consistently implement accessible UI patterns
• Advised on improving existing frontend architectures in terms of accessibility, performance and maintainability

Designed and developed a SaaS solution for workforce planning and managing security services, based on C#, .NET Core 8, and Blazor.

Responsibilities

• Developed the application with C# and .NET Core 8
• Designed the user interface with Blazor, Radzen and Telerik
• Integrated Telerik components for advanced UI features
• Used Dependency Injection (DI) and Inversion of Control (IoC) to optimize the architecture
• Used Visual Studio 2024 for software development
• Managed version control and team collaboration using GIT and Azure DevOps

Tools & Technologies C#, .NET Framework, .NET Core, ASP.NET Core, Entity Framework Core, Blazor, Visual Studio 2024, ReSharper, Telerik, Radzen, WPF, XAML, T-SQL, Azure SQL Server, DevOps, JavaScript, Linq, IoC, DI, Json, XML, Git, Agile, Scrum, Kanban, Docker, OAuth 2.0, REST API, HTML, CSS, Clean Code, Unit Tests, TDD, VBA (Visual Basic for Applications)

Task: Test tool development for Smart-Home IoT-based heating control Test tool development for Smart-Home HVAC heating and ventilation. Eliminating memory leaks in C/C++ within the CAN Analyzer application. Reviewing Python and Tcl/Tk code. Reviewing C-based simulator code for BOSCH Home Comfort cascade heating control using Visual Studio Code and Conan/Conda. Reviewing Delphi application: conversion to 64-bit. Reviewing PyQt6 user interface. SiL testing of domestic water heater control for memory leaks. Stability testing and continuous operation. Migration to Windows 11 24H2. Developing device connectivity with WinSock2 (WSAAPI, recv, send, select) for EMS/CAN IoT communication with C. Testing with virtual machines and Server Manager. Writing reports about the test cases. Logging with the RoboTT framework. Creating test procedure documentation with Docupedia. Bare-metal programming of embedded STM32 Cortex-M and simulation with Renode.io. In-depth familiarization with the SEGGER EmbOS firmware framework and its related system calls. Reviewing MATLAB/Sinumerik .m program files. Implementing redesigned OS schedulers in SEGGER EmbOS.Technologies: Embarcadero RAD Studio 10.2, Visual Studio Code, Sourcetree, Conan, Cmake, Conda, EmbOS, PyQt6, Qt6, Delphi VCL 32-bit, CAN, EMS, Powershell, MingW64, STM32 ARM-Cortex-M4F Renode.io, Windows Server 2022 Standard, RoboTT, IoT

Built charts for historical data, alarms, and downtime, plus enhanced interactive tables to efficiently track and compare oil-well performance. Eliminated 80% of high/medium security risks (Checkmarx) for the app. Optimized charting libraries, cutting usage from to 300–400MB for large data sets.

• Designed and implemented a hybrid recommendation system (content-based + collaborative filtering)
• Built end-to-end ML pipelines including data processing, feature engineering, model training, and evaluation
• Developed RAG-based LLM systems using LangChain and vector databases for semantic search and knowledge retrieval
• Established MLOps workflows with MLflow for experiment tracking, versioning, and deployment readiness
• Implemented deep learning models (computer vision & classification) using PyTorch and TensorFlow

Conducted an independent technical assessment of an AI-enabled software platform, combining AI risk auditing, cybersecurity analysis and software architecture review. Reviewed application components, APIs, data flows, LLM integrations, retrieval-augmented generation, multi-agent orchestration, authentication, tenant isolation, dependency vulnerabilities, AI governance and model lifecycle controls. Authored a technical audit report with a structured risk register, source-code evidence, regulatory references, corrective actions, AI system inventory, risk classification, remediation roadmap and Key Risk Indicators.

Technologies: TypeScript, JavaScript, React, Next.js, Node.js, REST APIs, MongoDB, Redis, AWS serverless services, OAuth 2.0 / OpenID Connect, LLM APIs, RAG, vector search, multi-agent orchestration, Model Context Protocol, C4 architecture modelling, threat modelling, NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894, OWASP guidance, MITRE ATLAS