Vuetify Experts in Germany

• Further development of the existing e-commerce platform based on SAP Commerce (Hybris) to meet the growing demands of digital commerce.
• Ensuring the scalability and performance of the backend, so the platform remained stable and efficient even under heavy user load.
• Development and integration of new OCC REST APIs and services for modular extensions and flexible adjustments, to implement new features quickly.
• Optimization of data flows and interfaces, which significantly improved platform efficiency and system performance.
• Ensuring a maintainable and scalable code base by using Clean Code principles, proven design patterns, and a future-proof architecture.
• Reduction of errors through extensive testing with JUnit, Mockito, and load tests with Gatling, supported by the introduction of automated test processes.
• Improved system performance through targeted refactoring measures and efficient database queries, especially to handle peak loads.
• Use of modern cloud and monitoring tools such as Kubernetes, Google Cloud Platform (GCP), and Grafana to ensure a stable and monitored infrastructure.
• Clear improvement in efficiency, scalability, and reliability of the platform, which now meets the demands of a dynamic and growing e-commerce market.

• LLM-based features for automated CO₂e data extraction from unstructured documents (70% reduction)

• Agentic AI pipeline for automated Scope 3 emissions calculation with 150,000+ validated data records

• Smart API workflows for real-time carbon footprint calculations in ERP and ESG systems

• ML algorithms to predict emission hotspots and optimize product design

• Automated data validation pipelines with NLP for quality assurance of CO₂e datasets

• Led a 15-person cross-functional team to develop 10+ AI features

• Strategic product planning and AI roadmap with 35% shorter time to market

• Stakeholder management with DAX companies (40% higher satisfaction, 95% retention)

• On-time project delivery with 95% budget adherence through data-driven backlog management

• Agile methods (Scrum, Kanban) with continuous AI/ML integration (25% team velocity increase)

• Product-market fit for AI features through A/B testing and analytics (60% higher adoption rate)

• DTO class generator: In-house development of a tool for the automatic generation of classes, functions, and methods for use in .NET Core projects based on SAP Business One Service Layer metadata
• E-invoice import add-on: Development of a SAP Business One add-on / coresuite module for the automated import of ZUGFeRD e-invoices as incoming invoices – with configurable mapping to flexibly control the import logic across four mapping types (DIRECT, SQL, FIXED, EXPR). The add-on is available as a licensed product for SAP Business One customers.

Stack: SAP Business One, SAP Business One Service Layer, coresuite Country Package, C#

• Designed and implemented a Python-based ETL pipeline with the Dagster framework to transform raw energy data from heterogeneous sources using InfluxDB and visualizations in Grafana
• Defined time-based and dependency-based jobs
• Deployed to managed Kubernetes clusters using Helm
• Integrated InfluxDB Cloud
• Prepared data for use in Grafana, including cleaning, normalization, and time-based resampling in Python
• Developed dashboards and visualizations in Grafana
• Developed unit tests with mocking using pytest
• Set up a CI/CD pipeline in GitLab

Technologies: Python, Dagster, InfluxDB, Grafana, pandas, pytest, REST, CI/CD, GitLab, Container, Kubernetes, Helm, Docker, Cloud

• Delivered a new notifications platform implementation built from scratch to replace existing and upcoming services
• Collaborating with other teams to integrate more domains

Tech stack:

• Data: Scala 3, Apache Kafka, Python, Airflow, Astronomer
• BE-FE: TypeScript, NestJS, Java, Spring Boot, Vue
• Dev-ops: AWS, PostgreSQL, Docker, GitHub Actions, Kubernetes, Helm, ArgoCD

• Acted as technical consultant to optimize multi-layer ensemble models combining ResNet, CNN-BiGRU-Attention, and XGBoost.
• Guided implementation of a Logistic Regression meta-learner to solve class imbalance problems, achieving 92.86% accuracy and 0.9644 AUC on PTB-XL and Chapman-Shaoxing datasets.

• Concept, design, architecture and full-stack development of end-user and back-office application
• Automated CI/CD pipeline with Docker and GitLab
• Advanced image optimization, Google Places and automated route calculation with Google Routes
• Development with Nuxt, Vue and Node
• Technologies: TypeScript, Vue, Nuxt, Node, Postgres, Sharp, Google Places, Drizzle, Telegram, Docker, GitLab, GitLab CI/CD, REST, PNPM, Vite, Tailwind, SCSS, HTML

• Migrated the Billomat API integration to InvoiceNinja API, boosting system reliability by 33% for 1300 users.
• Established an ESLint configuration with Husky and lint-staged, resulting in a 23% decrease in code review issues and refined code consistency across 5 repositories.
• Improved team processes by refining the Kanban workflow.
• Optimized frontend performance, built a new CI/CD pipeline, and implemented AWS resource monitoring to strengthen deployment reliability and system observability.

• Developed a web component for vehicle pricing communication in an international online shop.
• Replaced an old Stencil component to create a modern, flexible, and maintainable Vue.js component.
• Implemented country-specific displays and rules to comply with legal requirements.
• Introduced modal windows and tooltips to optimize user guidance.
• Adapted the component for desktop, tablet, and mobile devices.
• Provided different views and functions for stock and configurable vehicles as well as for private and business customers.
• Implemented efficient API calls and caching mechanisms to improve performance.

• Development of automated software tests (unit, integration, regression and end-to-end tests).
• Applied technologies: Playwright, Vitest, JavaScript, TypeScript, Vue3, Go, Laravel, REST API, CI/CD, Docker, Git, GitHub, Scrum, Jira.

• Design of an LLM-based agent system to control the ERP software
• Development of agent workflows with LangGraph and PydanticAI
• Planning interfaces between business logic and language models
• Planning agent orchestration
• Prototype development and demonstration

Tools: Python, Pydantic, React, LangChain, LangGraph, Linux

• Developed a web application for horse betting
• Converted components to script syntax

• Two-month modernization of the management UI for AI-powered cameras
• Rewrote a complex React application to Vue 3 with single file components
• Set up the core architecture of the Vue application and configured Vite, Pinia, Router, I18n, ESLint, and Prettier
• Custom integration of Leaflet to display detection zones on images
• Assisted with backend extension and authentication adjustments

• Developed high-performance REST API interfaces in C# for Investitionsbank Berlin (IBB) using CI/CD (Git, Azure DevOps).
• Developed the "Pean Admin Center" using the Microsoft Graph API (backend: C#, frontend: Vuetify), implemented via CI/CD pipelines (Azure DevOps).
• Created low-code business applications and automated processes with Power Apps and Power Automate.
• Set up and designed the online shop for Pestalozzi-Fröbel-Haus (PFH) via Wix.