REST API Experts in Nuremberg

• 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.

• Translated complex operational requirements into scalable Salesforce configurations, automation flows and governance policies, ensuring clean and maintainable implementations
• Designed and optimised Flows to eliminate manual steps in key business processes, improving both performance and process compliance
• Managed user roles, permission sets and security settings for a multi-team Salesforce org; ensured data quality and system stability through structured governance practices
• Supported Marketing Cloud integrations and campaign automation workflows, collaborating with business teams on data-driven audience segmentation
• Coordinated release management and deployment activities with development teams, contributing to structured change control processes

• Designing and developing responsive, accessible web applications for SMEs and private clients with React.js, Tailwind CSS, JavaScript, and HTML5.
• Building reusable UI component libraries to improve maintainability and reduce development time.
• Integrating REST APIs and implementing dynamic features (landing pages, portfolios, dashboards) based on Figma/Adobe XD designs.
• Independently managing the full project cycle (analysis, development, testing, deployment on Netlify/Vercel) while following mobile-first and cross-browser standards.

• Developed KPI dashboards using Power BI and DAX for 4+ business units, improving reporting transparency and strategic decision support.
• Migrated enterprise finance data views into dbt models, implementing modular SQL transformations, version-controlled data pipelines, and automated documentation to create a scalable analytics layer.
• Built dimensional data models in Snowflake for enterprise finance data, enabling scalable forecasting and supporting executive decision-making.
• Designed end-to-end ETL/ELT pipelines using Snowflake and SAP HANA, integrating data from 3+ enterprise systems.
• Automated monthly reporting workflows using SQL and Power BI, delivering strong business impact by reducing manual effort by 80%.
• Collaborated with finance stakeholders to translate business requirements into analytical data models, supporting strategic decision-making cycles.
• Delivered ad-hoc financial reports using Power BI, reducing turnaround time by 60%.
• Implemented data validation logic in SQL, resolving 95% of recurring data quality issues.

• Software development
• Technical design of software architecture and design (considering functional and non-functional requirements)
• Frontend and Backend
• Refactorings
• Code reviews
• Unit tests
• Automated integration tests
• E2E tests

Global Identity Services (GIS) is the identity provider for the Digital Services Platform (DSP). GIS is responsible for authenticating and authorizing end users and other DSP services by issuing security tokens. This includes:

• Identity management (e.g., user registration, password reset and change, user profiles)
• Management of roles and permissions
• Single Sign-On (SSO) across DSP services
• Management of OAuth resources and terms and conditions

• As part of the project, the further development of the identity management system was driven forward. This included a comprehensive refactoring of the interfaces to the connected target systems. In addition, several special systems were successfully connected to the IAM to ensure end-to-end identity and authorization management.
• Technical design and solution proposals for IAM system development
• Requirements analysis and requirements management (IREB, BABOK)
• Alignment of the strategy with the future target architecture (TOGAF)
• Prototyping of solutions
• Documentation of requirements (Innovator)
• Analysis and documentation of requirements and creation of process models (UML, BPMN, ArchiMate)
• Modeling of requirements and system functionalities (OOA/OOD, UML)
• Further development of interfaces (SOAP, REST)
• Carrying out architecture reviews

• Development of strategies, processes and system requirements to further develop the lead and campaign streams of a Salesforce system for the subsystems Sales Cloud, Marketing Cloud and Analytics Cloud
• Gathering and creation of marketing strategy concepts for direct sales, focusing on lead generation for new and existing customers
• Analysis and optimization of existing and new contact points
• Derivation of system requirements and user tests for new developments
• Establishment of a requirements and implementation process for business needs at the interface between CRM strategy and marketing system operations
• Facilitation of ideation workshops with the project's stakeholders
• Mediation between business and technical project stakeholders
• Analysis and post-documentation of existing marketing strategies and the system functions already created for them
• Analysis of target groups and pre-system data quality as a foundation for new CRM strategies
• Consultation on content and asset strategy for marketing campaigns
• Definition of KPIs and other performance criteria for the system and CRM strategy

• 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.

• Integrated complex AI-based energy system models into the frontend framework, enabling the visualization of insights for 6+ key clients and maximizing energy utilization.
• Maximized energy efficiency and utilization by architecting the seamless data flow between AI models and the user interface for rapid, actionable reporting.

• 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.

• Technology update
• Microsoft Azure certification

• Building a Data Analytics platform for Karl Storz
• Generic development of all ETL processes
• Preparing and providing data in Databricks Delta tables for reuse in Databricks Machine Learning
• Technologies & Tools: Azure Data Factory, CI/CD Pipeline with GitHub DevOps, Python, Azure Databricks (Unity Catalog), T-SQL

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

• Extension of test software for functional testing of IO modules in WPF with MVVM
• Configuration and extension of a specialized WPF control from Nevron
• Connection to Siemens PLCs via Siemens OPC UA Client and Allen-Bradley/Rockwell PLCs via Codebix OPC UA Client
• Integration of various data sources via REST API and JSON
• Development of stored procedures, views, and triggers for PostgreSQL and SQL Server with ADO.NET and Entity Framework 6