Amazon Web Services Experts in Nuremberg

• Hands-on support for mid-market M&A projects: company analysis, client briefings and information memoranda
• Set up structured project, data room and documentation processes, and prepared decision-making materials
• Designed and built the company website using AWS, and set up tracking and retargeting
• Practical use of AI applications and coding agents for research, analysis, documentation and software development

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 context-based business information.

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

Building 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, and 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

• Fine-tuned and evaluated alternative backbone architectures for the AFFGAN handwriting style encoder to better capture writer-specific features, benchmarking against the original baseline architecture and replacing the legacy VGG19 architecture with a custom Transformer-based encoder.
• Extended the system beyond word-level synthesis to line-level handwriting generation, integrating and adapting an existing line-generation architecture to support full-sentence output.
• Deployed the handwriting generation pipeline as a web application, enabling users to select a writing style, input custom text, and instantly generate a corresponding handwriting image.
• Integrated TrOCR into a teacher–student distillation framework to evaluate and improve readability of generated handwriting, improving OCR accuracy by 20% over the baseline.
• Boosted user-study pick-rates by 40%, demonstrating a significant leap in the perceptual quality and realism of the generated handwriting compared to the baseline model.

Tech: PyTorch, Python, GANs, CNN, ViT, TrOCR, Streamlit, CUDA.

• Independently managed the POS tender process for food service operations in department stores.

• Structured requirements gathering, both functional and technical.

• Created a management-ready specification as a basis for decision-making by management and IT.

• Market overview of relevant POS providers.

• Close coordination with Galeria's IT and business departments.

• Delivered 40+ AI projects and 23 strategic consultations for international clients (US, Europe, Middle East), achieving a 98% job success rate and building long-term partnerships.
• Developed and deployed production-grade AI solutions in computer vision, NLP, deep learning, and generative AI (LLMs, RAG pipelines, Stable Diffusion, OCR, chatbots), enabling automation and improving client efficiency by up to 70%.
• Designed and fine-tuned large language models (LLMs), including prompt engineering and integration with enterprise knowledge bases, leading to smarter decision-making and reduced manual effort.
• Built real-time computer vision applications (detection, segmentation, OCR) and integrated them into business systems, significantly enhancing accuracy and scalability.
• Consulted startups and enterprises on AI strategy, architecture, and deployment (cloud & on-premise), accelerating product development and reducing time-to-market.
• Managed complete AI project lifecycles (requirements gathering, solution design, deployment, support) in agile, international, and cross-functional environments, ensuring high-quality delivery.

• Lead software architect and technical team lead for a new logistics platform for load carrier trade
• Core design of software architecture using arc42 spanning frontend, backend, delivery strategies and cloud native infrastructure with Domain Driven Design and Hexagonal Architecture
• Evaluation of initial business requirements and software development roadmap
• Technical team lead in a Scrum team of 9 people
• Introduced and strengthened AI-assisted (JetBrains AI & GitHub Copilot) and collaborative code development strategies to speed up feature development

• Built a CRNN model with VGG16 and BiLSTM backbone for text-based CAPTCHA recognition
• Achieved 9.37% character error rate and 68.36% sequence accuracy on validation data
• Expanded data augmentation pipeline with distortions, noise injection, and clutter to improve robustness
• Conducted detailed error analysis on confusable characters (O, Q, D) and proposed error-specific augmentation
• Tech Stack: Python, TensorFlow/Keras, OpenCV, NumPy, Matplotlib

• Live ticker SaaS platform for Football and Ice Hockey

• Tribe Home, Product Area 4 - Customer in Life, Squad Cybertron.
• Analysis, design, development, and testing of new requirements for Optimmo, construction financing software.
• Analysis, design, development, and testing of the JEE application MWS kredit-baufi.
• Analysis, design, development, and testing of the Wicket Optimmo application.
• Analysis, design, development, and testing of kredit-baufi batch programs.
• Migration of kredit-baufi batches to RHEL9.
• CiL SCS Consumer Pacts with Finagle.
• CiL ScS Touch Point Architecture Integration.
• Team size: 10.
• Tools / Frameworks: OpenJDK Java 17, Kotlin 1.6.0, Azure, Jenkins, Stash, JEE, Gitlab, JIRA, Confluence, git, Spring 6.0, Sping Cloud, Spring Data, Hibernate, JPA, JMS, Kafka, Oracle, PL/SQL, Red Hat Enterprise Linux (RHEL), Maven, REST, JBoss, Intellij IDEA, Wicket 9 and 10, Istio.

• Built a custom AI chatbot for an e-commerce client using GPT-4 and LangChain with RAG, reducing customer support ticket volume by 45% and improving response accuracy to 92%.
• Designed and deployed an intelligent document processing system using LlamaIndex, Pinecone, and FastAPI for a FinTech startup, enabling semantic search across 100K+ financial documents.
• Developed multi-agent AI workflows using CrewAI and LangGraph for a marketing agency, automating lead research, content generation, and outreach — saving 20+ hours/week of manual work.
• Created AI-powered automation pipelines using n8n, Make, and Zapier integrated with CRMs (GoHighLevel, HubSpot), reducing manual data entry by 80% for a real estate firm.
• Delivered prompt engineering and LLM fine-tuning consulting for multiple clients, optimizing AI model outputs for customer support, content creation, and data extraction use cases.
• Built production-ready REST APIs with Python and FastAPI to serve AI models on AWS and GCP, handling 10K+ daily requests with 99.9% uptime.

• Further development of existing app
• Implementation of new features
• Bug-fixes
• Technologies: Swift, Xcode, Git, Jira, REST, MVVM, XCTests, UITests, Fastlane, Jenkins, SwiftUI

• Development of a new innovative payment product for the European market with the aim of establishing an alternative to the existing global players.
• Set-up and scaling of the software development processes and teams.
• Architect and implementation of the business processes in an event sourcing microservice architecture.
• Implementation on a prototype in the context of the Digital Euro.
• Technologies: Ktor (Kotlin), AWS Managed Kubernetes with Fargate, MongoDB, React, ElasticSearch, KoTest, Gradle, Agile Development, Pair Programming, GitHub Actions, Gradle, SonarQube

• Designed and operated a GitOps-based Kubernetes platform, migrating services from AWS ECS to Amazon EKS.
• Built automated CI/CD pipelines for container build and deployment using GitLab CI, Helm, and Argo CD.
• Developed reusable Helm charts for Kubernetes resources (Ingress, Services, Secrets, HPA, ExternalDNS).
• Provisioned and managed EKS (Fargate and EC2) using Infrastructure as Code (Terraform / OpenTofu).
• Implemented OIDC-based authentication and authorization (Okta) for secure access to Kubernetes and Argo CD.
• Improved container security by migrating services to distroless images.
• Implemented logging, monitoring, and observability to ensure system reliability and performance.
• Automated cloud cost optimisation using Python (Boto3), achieving approximately 45% cost savings.
• Led migration of AWS infrastructure to IaC, reducing configuration drift and deployment issues.
• Produced technical documentation and operational runbooks, supporting internal engineering teams.

• Sustained new business growth with 120%+ book-to-bill despite challenging corporate and market headwinds.
• Delivered the strongest deal conversion across business lines and Cloud regions (qualified: 50%+ win rate, 70%+ hit rate).
• Expanded and strengthened Cloud, Smart Data/AI, and Sovereignty capabilities and partnerships.
• Improved operational efficiency, transparency, and speed by optimizing Sales, Pre-sales, and Workforce Management processes — reducing time to staffing, enhancing solution readiness, and faster time to offer.
• Coached and mentored emerging talents and future executives.
• Served as a member of the global Eviden Executives team.
• Secured new market recognitions for team achievements, including:
• ISG Leader Ratings in multiple Cloud Services categories (Azure, Microsoft 365, SAP, AWS)
• Industry Awards such as Best Innovative Project 2023 (Red Hat) and Project of the Year (Ionos)
• Global Recognition as Challenger in Public Cloud (Gartner)