Function Calling Experts in Germany

• Team leadership: Prioritization and coordination of four cross-functional teams.
• Platform strategy: Development and implementation of strategies to optimize existing IT platforms.
• Stakeholder management: Active management of expectations and communication with internal and external stakeholders.
• Program and innovation management: Prioritization and coordination of cross-department projects as well as innovation initiatives.
• Product Owner consulting: Advising Product Owners with a focus on product development and continuous product improvement.
• Organizational development: Improving communication and decision-making structures across all organizational levels.
• Change management: Implementing best-practice change management methods to ensure continuous optimization and innovation.
• Quality assurance: Ensuring high quality standards in processes, services, and deliverables.

Project: Concept and implementation of an AI product for four business use cases

Project management of an AI project at a leading provider of large-scale catering and food services, where a production-ready AI product for four use cases was implemented together with an external development partner: automated briefings from CRM and document data, voice-based capture and structuring of reports, detection and merging of duplicates in master data, and data-based market analysis. A central focus was a privacy-compliant architecture that passed the internal IT security review and enabled productive use.

• Translating business requirements into clearly defined AI use cases with a clear product scope and clear value proposition
• Selecting and evaluating models and architecture options for text extraction, speech-to-text and context enrichment from business systems, including LLM integration, function calling and retrieval
• Designing and enforcing an architecture with European hosting, data minimization and masking of personal data as a prerequisite for approval
• Managing the interfaces between business, IT, IT security and the external development partner under restrictive data access conditions
• Coordinating with CIO and executive management on data access, risk assessment and approval decisions
• Preparing the transition into productive use

Embedded Analytics & AI-assisted BI

Design and development of an integrated analytics solution based on ASP.NET Core, Power BI Embedded, and LLM services to provide contextual business information.

Development of an AI agent with Function/Tool Calling for secure orchestration of REST APIs, SQL data sources, and technical services within defined business processes.

Build-up of automated BI workflows including workspace management, deployment processes, and scheduled refresh via the Power BI REST API.

Implementation of secure service-to-service communication with Microsoft Entra ID and service principal, as well as integration into existing enterprise system landscapes.

Technologies: ASP.NET Core, C#/.NET, Power BI Embedded, Power BI REST API, LLM API, AI Agents, Function/Tool Calling, Entra ID

Manufacturing intelligence platform with enterprise workflows, RAG, real-time AI assistant features, and multi-repository backend architecture.

• Built and extended production AI/backend services with Django, DRF, FastAPI, GraphQL, Celery, PostgreSQL, MySQL, Redis, and WebSockets across a modular multi-repository platform.
• Contributed to ARIS V2, a real-time manufacturing AI assistant using LangChain, LangGraph, MCP tool orchestration, planning/execution flows, OpenAI, AWS Bedrock, Qdrant, and Elasticsearch/OpenSearch-backed retrieval.
• Supported rollout expansion from ARIS V1 in 4 of 17 client production plants to ARIS V2 currently active in 13 of 17 plants, increasing real-world deployment coverage to more than 50% of the client footprint.
• Worked on document-grounded RAG functionality including ingestion, OCR, chunking, embeddings, indexing, retrieval, reranking, and grounded answer generation for industrial workflows.

Stack: Python, Django, DRF, FastAPI, LangChain, LangGraph, GraphQL, Celery, WebSockets, OpenAI, AWS Bedrock, Qdrant, Elasticsearch/OpenSearch, PostgreSQL, MySQL, Redis, Docker.

Development of an AI console for integration into different open source solutions (ERP, CRM..)

Development of the target architecture Integration of different AI platforms (ChatGPT, Anthropic, Perplexity) Workflow with cross-platform use of the AI platforms Voice input and voice output History Console-based project management Generation of custom agents (Crewai..) Integration of the agents into the AI workflow

PLANT-MY-TREE®-per-order

The application enables Shopify merchants to automatically place tree-planting orders for every incoming order. By integrating ecological contributions directly into the purchase process, the manual effort for tracking and billing reforestation initiatives is eliminated. The system increases transparency for end customers through real-time visualizations of the ecological impact directly in the storefront. The architecture is based on a modular monolith with Spring Boot in the backend and an integrated React app inside the Shopify admin area. The solution uses webhooks to capture order data in an event-driven way and integrates the weclapp ERP system for automated monthly invoicing. An app proxy mechanism provides dynamic statistics such as CO2 compensation and planted trees without any performance loss for the merchant shop.

Tasks:

• Design of the modular software architecture based on Spring Modulith to ensure high maintainability
• Development of the event-driven business logic for evaluating Shopify orders via webhooks
• Implementation of automated invoicing by connecting the weclapp REST API
• Building the frontend using React Router and Shopify App Bridge for native integration
• Design of the database model and implementation of the persistence layer with JPA/Hibernate and Prisma
• Integration of internationalization processes for global use in the frontend and email communication
• Automation of deployment processes using Docker and GitLab CI/CD

Project skills: Java 25, Spring Boot, Spring Security, Spring Modulith, Hibernate, JPA, REST API, PostgreSQL, Maven, Liquibase, React, TypeScript, React Router, Vite, Node.js, Prisma, Zod, Docker, Docker Compose, GitLab CI/CD, Shopify CLI, Shopify App Bridge, Polaris, weclapp, i18next, Lombok, Vitest

• Designed and deployed enterprise Retrieval-Augmented Generation (RAG) applications using LangChain, LangGraph, vector databases, embeddings, and open-source LLMs served through vLLM on GCP GPU infrastructure.
• Built agentic AI workflows using LangGraph with planning, reasoning, tool execution, persistent memory, session management, and Human-in-the-Loop approval mechanisms.
• Developed LLM-powered automation systems integrating BigQuery, SQL pipelines, and external advertising APIs including Meta, TikTok, Amazon, Snapchat, Google, and Pinterest, reducing manual operational workflows.
• Architected multi-agent AI systems for enterprise analytics and decision-support workflows, enabling autonomous task execution and intelligent data interactions.
• Implemented retrieval optimization strategies including multi-retriever architectures, semantic search, context optimization, and query improvement techniques, improving response relevance by approximately 40%.
• Engineered structured prompting strategies, function-calling schemas, and validation workflows to improve reliability of multi-step LLM applications.
• Designed scalable AI services using Python, FastAPI, Cloud Run, Pub/Sub, BigQuery, Docker, and cloud-native deployment architectures.

• 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.

AI-driven automation of purchasing on a printing company's website, including selecting delivery times, order options, ordering, payment, and uploading print data from the Lumiz Cloud.

• Advising and technical implementation of AI integration and workflow automation for small and mid-sized businesses
• Building a multi-tenant AI agent platform as a product base
• Combining strategic consulting, technical implementation, and team enablement

Project examples:

• Development and architecture of the SOLUMiDO Agent-UI platform for integrating digital colleagues into business processes (Next.js, TypeScript, PostgreSQL, Keycloak)
• Development of the ToolChange Assistant: a multilingual, voice-controlled AI agent for optimizing setup times and reducing errors
• Implementation of an AI email assistant for intelligent email classification and processing with Microsoft 365 integration
• AI video marketing integration (STORYNEXT) for mid-sized companies, including AI-assisted briefing and performance analysis
• Social media content automation with AI text creation, approval workflow, and automatic publishing
• Business process analysis and digital solutions implementation for facility management service providers
• Digital consulting and web presence development for associations in rural areas

• Development of an AI-powered digital commerce concierge platform designed to integrate modern AI technologies with online commerce systems
• Developed and implemented a SOA/microservices architecture to harmonize systems across multiple portals
• AI-powered conversational commerce
• Product catalog intelligence using RAG architectures
• AI agents for product discovery and customer interaction
• Integration with commerce platforms including Shopify
• Microservices-based AI orchestration architecture
• Large Language Models (LLM)
• Vector databases
• AI orchestration frameworks
• Event-driven microservice architectures

From Crude to Crafted: Refining Participatory Design Data into Stakeholder-Ready Outcomes

• Architected a production Document AI platform using Retrieval Augmented Generation (RAG) over 1,500+ participatory design artefacts to answer historical project queries with grounded responses.
• Designed LLM evaluation combining RAGAS, custom evaluation metrics and human-in-the-loop (HITL) validation workflows to evaluate factual grounding, response quality, and prompt performance.
• Built a React, TypeScript, and D3.js frontend for interactive exploration of AI-generated insights.
• Implemented input layer LLM safety controls and Guardrails, including PII redaction and foul language filtering.

• Developed RAG-based AI solutions integrated with enterprise data infrastructure for high-accuracy responses.
• Optimized LLM performance, reducing latency and cost with fine-tuned AI models.
• Built NLP pipelines for summarization, entity extraction, and sentiment analysis, enhancing automation workflows.

• Built and launched my own SaaS platform from scratch. The platform has been live since 2025 and runs in a stable, low-maintenance mode – development is complete and operational work is minimal and predictable. Full capacity is available for client projects.

• Multi-tenant marketplace for in-person courses with provider onboarding, granular roles, and a commission-based billing model

• Payment infrastructure with Stripe Connect following the Separate-Charges-and-Transfers model, including automated commission splits

• AI features such as a chatbot with tool calling, semantic search, and automated lead generation

• Search infrastructure: Meilisearch with vector embeddings for semantic course search

• Tech stack: Laravel, PHP 8, Nuxt.js, Vue.js, TypeScript, MySQL, Meilisearch, Stripe Connect