Node.js 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.

• 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.

• IoT platform to connect, transform and get actionable results
• Built a microservice observability solution to improve insights for developers and operations teams
• Made advanced performance optimizations in .NET code, databases and time series
• Provided architectural advice to developer teams on performance, scalability, reliability and code quality
• Evaluated and built PoCs for new technologies, including time series databases and messaging platforms
• Technologies: C#/F#/Rust, InfluxDB, ClickHouse, Prometheus, Grafana, k6, RabbitMQ, EMQX, Docker, Kubernetes, Azure AKS

• 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

• Focused on exploring the intersection of Music and AI.

• Engineered high-performance APIs with FastAPI + MongoDB, integrating live weather data (NOAA, NWS).
• Developed an AI chatbot with OpenAI APIs — context-aware by location, profession & interests.
• Created admin dashboard APIs for real-time monitoring and zero-downtime configuration.
• Integrated Stripe Embedded Payments with secure transactions & subscription management via webhooks.

• Design and development of an AI-based assistant system for targeted identification and closing of knowledge gaps in software development at an energy provider
• Technology stack:
• Vector database (Qdrant Cloud)
• RAG for semantic document analysis
• FastAPI backend to process user requests
• Integration with an LLM (e.g., OpenAI)

• 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