GitHub Experts in Nuremberg

• Analysis of the role of marriage as an informal insurance in Germany using econometric methods (supervisor: Prof. Dr. Harald Tauchmann).
• Prepared and cleaned multiple panel datasets and extracted relevant variables to create a final panel dataset with over 36,000 observations (2006–2020, SOEP).
• Designed an IV model in Stata to examine the causal link between couple separation and health shocks (mental/physical).
• Conducted robustness checks to ensure stability and validity of the results.

• 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

• Helped to design the AWS infrastructure, integrated services and backend architecture for use cases of an on-premise solution and partial migrations to AWS with fast response times
• Implemented automated AWS integration test suites
• Implemented mission-critical components and delivered them before the deadline in a production-ready state with operation and monitoring concepts
• This 2-month subproject was about building a data-intense pipeline (5 TB) to be enriched continuously with data
• Designed and implemented reusable AWS CDK constructs to be used across the company’s teams to enable faster onboarding with AWS
• Coached on AWS topics, distributed software patterns, security, domain-driven design, agile collaboration and documentation to improve performance and collaboration
• Technologies: AWS, GitHub Actions, ETL, monitoring, operations, TypeScript, Python, AWS CDK, CloudFormation, Java, Docker, AWS ECS, AWS Lambda, serverless, Jenkins, DevOps principles

• 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.

• Technology update
• Microsoft Azure certification

• 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

Mortal Shell 2 🎯

• enemy & boss combat
• partly player abilities & mechanics

• 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

• Built features using Jetpack Compose
• Improved location-based features with in-memory caching
• Developed Merchant-to-Merchant chat functionality from scratch
• Integrated FCM with deep links to enable contextual push notifications
• Performance tuning for Google Maps view using clustering for better performance in dense areas

• Analysis of software quality, technical debt, and development processes
• Derivation of sustainable improvements for developer experience, productivity, and system stability

• 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.

• 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