TypeScript 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.

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.

• 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.

• 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

• Designed and implemented the complete data flow architecture for the Mercedes-AMG battery case production line, from raw material processing to end-customer traceability.

• Developed MQTT-based communication protocols for Siemens S7 PLC controllers to enable efficient real-time data exchange between machines and supervisory systems.

• Architected a local Ubuntu-based industrial server, integrating Node-RED for data collection, MySQL databases running in Docker containers, and automated data pipelines.

• Commissioned connectivity of 52 Siemens PLCs and 32 Yaskawa welding and handling robots.

• Designed and implemented HMI and visualization systems to support operator interaction and production monitoring.

• Designed a 2D digital twin of the production floor, visualizing real-time process data from 26 Siemens PLCs and 18 Yaskawa welding robots via Stromquelle interfaces.

• Implemented data collection and camera-based measurement systems for welding quality control and automated defect visualization.

• Designed and optimized MySQL database structures, including stored procedures for data processing and performance analytics.

• 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.

• Web application for contract changes

• Micro frontend development from scratch through production with a Reactive Forms basis, Responsive Web Design, validation, multilingual support, accessibility, unit tests and component tests

• Technologies: Angular 19-20, Nx, Angular CLI, Native Federation, TypeScript, HTML, SASS, Tailwind CSS, Angular Material, Reactive Forms, RxJS, Signals, PDF-Make, ng-openapi-gen, i18n, JSON Server, REST, JWT, Jest, Playwright, IntelliJ, Git, CI/CD with GitLab, Cloud Foundry, Nginx; Scrum

• Intent-driven approach to configure all models across all series automotive in all distribution markets of this car manufacturer
• Developed a customer-facing, conversation-driven integration layer to achieve 100% hallucination-free technical configurations
• Utilized Microsoft Azure AI Services: AI Foundry, Agent Service, AI Search; Prompt Shield Services; Content Security; Terraform; API Gateway; AI Gateway; Container Services; Azure Agent SDK; Agent Skills; RAG; MCP Servers and tools

• Created database schemas and liaised with geographically distributed teams using waterfall methodology
• Participated in business workshops and authored technical specification documents aligned with architectural requirements
• Developed high-quality code deliverables and reports using repository tools

• Focused on exploring the intersection of Music and AI.

• Developed a RAG system to automate student queries with 96% accuracy, built using FastAPI and LangChain and deployed on the university server with Docker.
• Evaluated performance using RAGAS, comparing LLMs (Llama3.3, Llama3.1, GPT-4o-mini), vector embeddings, and various retrieval techniques within the RAG pipeline.
• Technical Skills: Python, FastAPI, Docker, AWS, LangChain, LangSmith, NLP, HTML, CSS

• Designed 3 architectures to determine the most cost-effective solution regarding customer requirements
• Created the production and test environments from scratch
• Tech Stack: AWS (Serverless, CI/CD), GitHub

• Integrated latest hardware revision including RFID edition and established cloud communication using OCPP1.6

• Developed a versatile system for seamless communication, monitoring, and control with various backend solutions to improve user charging experience

Technologies: TypeScript, JavaScript, Node.js, GitLab CI/CD, gRPC, OCPP1.6