AngularJS Experts

Testing adjustments to customer requests for warehouse / logistics software

Windows 10 / 11 Atlassian Tool Chain Agile testing / Kanban

• 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

• 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.

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

• Senior Frontend Angular and Frontend
• Integrating Camunda processes into the frontend
• Development supported by ChatGPT (Codex) and Claude (skills etc.)

Knowledge: Angular, Camunda

Products used: Claude, Codex, ChatGPT, Camunda

• Billing software for the second-highest security authority of the Federal Republic of Germany
• Passed security clearance level 2
• Frontend and backend development
• Consulting on the introduction, design, implementation, and development of technical components
• Code reviews, component testing, module testing, group module testing
• Implementation of UI/UX design
• Used technologies: HTML, CSS/SCSS, JavaScript, Node.js, Vue 3, PrimeVue, Webpack, Vuex, Momentum, Jest, NPM, Lodash, Java 17, Spring Boot, Lombok, GraphQL, JUnit, Maven, Keycloak, Python, Docker, CI/CD, Kubernetes, Oracle SQL, Postman, Storybook, Microservices, Monorepo, Jira, Confluence, Scrum, GitLab, AWS, IntelliJ, Visual Studio Code, Neovim, XLSX, responsive Webdesign, BITV 2.0 (U.S. Section 508) / WCAG 2.2

• Frontend development
• Spring Boot
• Swagger
• Git
• GitLab
• SonarQube
• Docker
• Maven
• Java
• Angular

• The goal of the "DigSÜ" project is to digitize paper-based processes in the security clearance process to ensure faster processing of the files
• Managing the product backlog and creating user stories in close collaboration with stakeholders
• Building Scrum structures and supporting the development team
• Regular presentation of progress

• Analysis and remediation of security vulnerabilities in a risk assessment system for energy trading
• System analysis
• Threat modeling
• Decision-making on vulnerability mitigation strategies
• Implementation of vulnerability detection mechanisms
• Security scans
• DevSecOps practices
• Technical environment: Visual Studio Code, JetBrains Suite, MS Threat Modeling Tool, DevSecOps, Git, AWS, DynamoDB, SQL Server, Endur, Snowflake, Orca
• Languages: C#, JavaScript, TypeScript, Python, PowerShell, Bash, Terraform, SQL

• Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
• Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
• Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
• Use of Scrum and Kanban methods.
• Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
• Development of new plugins and add-ons needed on current infrastructure.
• Database support.
• Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
• Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
• Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
• Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
• Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
• Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
• Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
• Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
• Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
• Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
• Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
• Automated system provisioning and deployment using CloudFormation templates.
• Configuration of IAM roles, policies and permissions to ensure secure access control.
• Patch management, backup automation and disaster recovery setup on AWS infrastructure.
• Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
• Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
• Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
• Configuration of AWS CloudWatch to monitor application performance and system events.
• Planning and execution of migration of on-premises applications to AWS cloud platforms.
• Deployment of containerized applications using Docker and Kubernetes in AWS environments.
• Deployment of internal software packages between availability zones using AWS CodeDeploy.
• Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.

• Selection and evaluation of different frontend frameworks for a headless CMS

• Consulting the UI/UX team on the design system

• Technologies:

• Figma

• Design Token

• Tailwind

• Storybook

• React

• NextJs

• Strapi

• AJAX

• Confluence

• CSS3

• Docker

• Eslint

• Git

• GraphQL

• HTML5

• IntelliJ/WebStorm

• JAM Stack

• Jasmine

• Jenkins

• Jira

• JSON

• JSX

• Mocha

• Native JavaScript (ES6)

• NodeJS

• Prettier

• REST

• REST APIs

• SCSS

• SSR

• StyleGuides

• SVG

• TypeScript

• Webpack

• Migrate company software to RHEL10
• Development in Bash, Python, C, Ansible

• 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