Mobile Developer

• Extraction, transformation, and cleansing of data from Microsoft Dynamics AX
• Creation of sales reports in Power BI
• Training employees in business intelligence
• Technologies: Power BI, SQL, SQL Server Integration Services (SSIS)

• The comdirect app for iOS offers an intuitive and user-friendly mobile banking app that allows users to manage their banking efficiently and securely.
• Central features: bank transfers, portfolio analysis, personalized financial manager to facilitate daily banking and financial planning.
• Users: over 1 million.
• Written in native Swift using UIKit and SwiftUI.
• App-wide MVVM and Coordinator design pattern.
• Partial reactive programming using Apple’s Combine framework or vendor RxSwift.
• API integrations and data structures with JSON.
• Documented clean code.
• Continuous integration with Git and Jenkins.
• High unit test coverage with XCTest.
• Agile project setup according to Scrum.

• Planned and developed a CPU monitoring application for monitoring system performance and resource utilization.
• Designed and implemented a Spring Boot backend providing a REST API for processing and exposing monitoring data.
• Developed the React frontend for presenting monitoring information in a clear and user-friendly interface.
• Integrated PostgreSQL for persistent storage and management of application data.
• Containerized the application and its services using Docker Compose.
• Automated infrastructure provisioning and deployment using Terraform on AWS.
• Structured the application as a modern, maintainable system using REST-based communication between frontend and backend.
• Designed and developed a secure, scalable CPU monitoring architecture (cpu-watcher) with a dedicated collector application that streams monitoring data to the backend, reducing direct exposure of system resources.
• Designed a secure cloud infrastructure with the database isolated within a private network and OIDC-based authentication.
• Implemented Infrastructure as Code with Terraform and integrated version-controlled CI/CD pipelines to automate testing, infrastructure changes, and application deployments.
• Designed and implemented the frontend delivery architecture using AWS CloudFront.

Stack: Spring Boot · React · PostgreSQL · REST API · Docker Compose · Terraform · AWS

• AI automation roadmap for a D2C/B2B e-commerce company.
• Customer service bot with RAG over support tickets and product data, OCR pipeline for incoming invoices with writeback to Business Central, lead gen and posting automation.
• Deterministic n8n workflows with EU-hosted models.
• n8n, RAG / Mistral, Qwen/BGE embeddings / Business Central API, HubSpot, Shopify / Scaleway, S3 / Claude Code, OpenCode.

Participation in the EU-funded MORANE-2 project to validate the Future Railway Mobile Communication System (FRMCS) in real-life use cases: creation of the requirement specifications for TOBA as well as the associated test specifications.

Technologies: 5GS (Radio & Core), FRMCS, MCx (MCPTT, MCData, MCVideo), MC Gateway UE, MCx Priority/Security/QoS Management, ETCS, SIP, IMS

• Implementing a real-time procedural 3D/AR eyelash configurator using Three.js and MediaPipe
• Building a full-stack web application with React.js and Python
• Consulting on app and web development

• Developing a model-based AI where natural language is interpreted as formal relations.
• Natural language terms are not considered rigid but fluid and can be negotiated in a context so meaning resolves by iteratively specifying.
• Develops all kinds of model solutions.
• Backed by natural language and data annotation.
• Requirements to code and other solutions.

• NFC – Project: Development of a prepaid app solution that retrieves already paid services (credit) via an NFC connection between smartphone and terminal

• Technologies: REST, NFC, Swift Concurrency, Keychain

• KURIER edition & Futurezone.at: Development of white-label apps in partnership with Technical Apps for k-digital Medien GmbH

• Technologies: REST, In-App Purchase, Push Notifications, Analytics, OAuth

• White-label app for sports associations and institutions: iOS client connected to backend, focusing on modularity, flexibility, and customizability

• Technologies: Swift packages (Network, Core, Business Logic, Frontend), MVVM pattern, reactive programming (Combine)

• Magenta Sport iOS app: OTT sports platform by Deutsche Telekom with SSO (OAuth), HLS video streaming, DRM protection

• Video player framework: Integration of the Sportradar OTT process, licensing model, HLS streams, DRM, analytics, Chromecast, AirPlay, Picture in Picture, Apple TV; available as an XCFramework via CocoaPods; used in WRC, MagentaSport, NHL TV

• Collaboration on other apps: DFB and DFB Fanclub; LAOLA1.at; LAOLA1.tv; RedBull Salzburg (formerly)

struppilog.com – Digital health record for pets / MVP → Full Product

Design, development, and full further development of a digital health platform for pets – from my own MVP development to a fully built and production-ready platform.

Independent concept and development of the MVP Development of the full application with Flutter/Dart and Firebase Expansion of the MVP into a full digital health record with health data, findings, allergies, medications, documents, and emergency data Development of user registration, authentication, roles, data models, and secure user interactions Implementation of QR-code-based data exchange and digital interaction features Development of a multilingual, responsive web application Integration of AI-supported features and AI/agentic workflows Development and continuous improvement of product logic, UX/UI, and technical architecture Building and expanding a scalable cloud-based solution with Firebase Integration and further development of APIs and external services Use of AI-native / agentic engineering to speed up development, testing, debugging, and product iteration Independent implementation of all other features and technical extensions Continuous further development of the MVP into a full digital product

Impact: The MVP I built myself was continuously developed technically and functionally into a broad, production-ready platform – including frontend, backend, data model, authentication, UX/UI, APIs, cloud infrastructure, and ongoing product development.

• Foundational work for new hardware series “tado° line X”
• Interview & onboard new iOS Engineers
• Reduce release time from 1 in 2 months to 1 per week
• Maintain and improve high user satisfaction: 4.6+ Stars
• Setup secure & encrypted Handshake with bluetooth device
• Reduce merge conflicts by setting up the project via tuist
• Convert monolithic codebase to Modules by leveraging SPM
• Use state of the art technology, like Codable & async/await
• Maintain & improve custom view accessibility
• Reduce tech debt
• Gradually convert to webviews while maintaining high quality
• Ship highly requested features like “dark mode”
• Increase unit test code coverage and rewrite parts of code base

Conceptualizing and developing AI-powered app MVPs from the first idea to a working product. I combine UX strategy with modern AI and no-code tools — especially Claude and Claude Code, where I work directly in the terminal on real code (React, Vite), complemented by Figma, Bolt.new, and Base44 — to quickly validate and build product ideas. Personal platforms: Nutrycoach.ai (AI nutrition coaching with role-based dashboards for clients, coaches, and admins, AI meal analysis, and a scalable design system) and LuxuryBandit (content/creator app). This led to my own practice 'AI-assisted App Strategy', which combines human creativity, UX logic, and intelligent automation.

• Working within a cross-functional team developing upgrades for in-app features
• Android app development since 2016
• App: Skull IQ & many more

• Contributed to the architecture design process, resulting in scalable and maintainable solutions for complex projects.
• Enhanced app performance by optimizing code and implementing efficient algorithms.
• Stayed current with industry trends to ensure implementation of best practices in app development.
• Led a team of iOS developers for timely completion of projects and achieving client satisfaction.
• Translated basic design plans into full iOS app frameworks, delegating project components to appropriate team members.
• Estimated work hours and tracked progress using Scrum methodology.

• RLHF & Model Evaluation: Evaluated, ranked, and refined Large Language Model (LLM) responses based on accuracy, reasoning quality, safety guidelines, and factual correctness.
• Data Annotation & Prompt Engineering: Created high-complexity prompts, edge-case scenarios, and gold-standard reference answers to train and fine-tune generative AI models.
• Quality Assurance & Verification: Conducted rigorous fact-checking, logical consistency validation, and multi-turn response optimization.