Android Studio Expert

• 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

Reporting and controlling using Power BI for a production ERP system

• Analysis of ERP data and interfaces for use in Power BI dashboards
• Evaluation and migration of existing reports (e.g. Excel) to Power BI
• Development of an authorization concept for selective data access
• Documentation and training on the use and customization of Power BI dashboards

Label: Power BI, Excel, SelectLine ERP, Microsoft SQL, SQL Server Management Studio

Project: Defect Generation on Test-Bench Images of Metal Surfaces Environment: Automated Visual Inspection (AVI), Metallurgy & Manufacturing

• Objective & Implementation: Designed, architected, and trained Generative Adversarial Networks (Pix2PixHD / SPADE) for image-to-image transformation. Targeted generation of synthetic material defects (e.g., cracks, inclusions, scale) on rough metal surfaces under real test-bench lighting conditions for privacy-compliant and efficient dataset expansion (data augmentation).
• Technical Design: Implemented robust Generative AI and computer vision pipelines in Python and PyTorch. Used semantic segmentation approaches for mask-controlled defect synthesis and subsequent evaluation with EfficientDet object detection models.
• Business Impact: Massive dataset upscaling (10x) without time-consuming and costly physical test-bench runs, while significantly improving the detection performance of automated inspection systems.

Technologies & Skills Used: Python | PyTorch | SPADE | Pix2PixHD | EfficientDet | Machine Learning | Semantic Segmentation | Computer Vision

• Project: Thermomix Online Mock
• Manual execution of functional tests
• Implementation of automated end-to-end tests
• Execution of regression tests and analysis of results
• Further development of the QA website server using Express.js, Handlebars and Node.js
• Further development of the test environment
• Technologies: Agile software development Scrum, Robot Framework, Python, JavaScript, Git (GitLab), VS Code, Jira, Confluence, Express.js, Handlebars, Phoenix/Elixir

• Title: Enhancing Syntactic Awareness in Transformer Language Models for Hindi Dependency Parsing
• Investigated syntactic knowledge captured by transformer language models (RoBERTa, XLM-RoBERTa) for Hindi dependency parsing, a morphologically rich and low-resource language.
• Developed structure-aware model variants (Struct_Roberta_hi, Struct_XLMR) by integrating a CNN-based parser network between transformer layers, inspired by the StructFormer architecture.
• Conducted extensive error analysis including label-wise, distance-based, direction-based, sentence length-based, and LVC/Non-LVC evaluations.
• Evaluated models on downstream NLP tasks (NER, POS tagging) using the IndicXTREME benchmark.

• Conducting and evaluating web analyses
• Creating and editing tags and scripts in the area of tag management as well as banners and other client-side web elements in the area of consent management
• Technologies used in development: Tealium, JavaScript, IntelliJ, Git, Android Studio, Selenium, Appium, Adobe Analytics, Power Automate, Power App

• Working on Telecommunication Apps on Android under NDA for the Military
• Participation in the development of backend services (Spring, Java)
• Android Development, Kotlin, Compose, REST, JSON, State-Machines, Android Studio, IP Communication, Cybersecurity, Agile

Working as a QA Engineer within a regulated digital health environment, supporting structured test planning, test analysis, verification evidence and release readiness across mobile and web applications.

Creating, maintaining and executing manual and automated (MAESTRO, Katalon, Cypress) functional, regression and SIT test cases for iOS, Android and web platforms. Performing daily activities using Jira, Xray, Confluence, BrowserStack and staged test environments.

Supporting traceability between requirements, risks, test cases, defects and test results, helping ensure QA evidence is clear, auditable and suitable for regulated software delivery.

Collaborating with development, product, medical, regulatory and business stakeholders to clarify requirements, investigate defects, assess severity and priority, and reduce release risk.

Applying ISTQB, Agile and SAFe testing principles across mobile apps (as mobile medical devices), web platforms, system integration and regulated documentation.

Using AI products and open-source AI tools to support QA activities, including test case design, user story analysis, test data creation, process optimisation and regression coverage estimation.

• Technical project management for a new policy administration and quotation management tool in the area of personal insurance, large commercial business and specialty insurance
• Extension of an established standard solution with dedicated line-of-business modules for industry and public institutions
• Establishment of project structures, teams, organization and communication processes
• Integration of the solution into the existing insurance ecosystem and connection to various surrounding systems
• Stakeholder management and classic project management (on time, in scope, within budget)
• Responsibility for the project budget and delivery
• Initiation, planning, implementation, testing and go-live
• Tools used: MS Office, Jira, Confluence, Xray

• 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.

• Specialized in embedded software development with C, C++, Assembler and designing interfaces to other applications or components

• Focus areas: communication (wireless and wired), control/regulation, Low Power RF applications (e.g. Bluetooth LE), IoT applications, measurement/data acquisition systems

• Development of cross-platform communication protocols based on Bluetooth Low Energy for embedded systems, embedded Linux and Mobile Applications

• Mobile/Desktop software development with C/C++, QML and Qt Framework; platform-specific interfaces in Java/Kotlin for Android and Objective-C/Swift for iOS

• Platforms: Linux, Android OS, iOS, Windows/UWP, embedded Linux, macOS; Cross Platform with Qt 6, QtQuick/QML

• Multithreaded applications, UI/UX design with QtQML; experience with VxWorks and QNX

• Consulting and requirements analysis from concept through design, prototyping and testing to production handover

• Areas of expertise: Desktop, Mobile and Backend software, Cross Platform development, embedded software, digital and mixed-signal applications, Wireless modules (Bluetooth LE, WiFi), Short Range Devices certification, Bluetooth Listing

• Hardware development: design and development of electronic circuits, schematic design (OrCAD, Fusion360), simulation (PSpice, LTSpice), layout, prototype assembly and commissioning

• Extensive project experience in PC/Desktop Server software, embedded software, Mobile Applications and hardware development projects (selected projects from 2008 to 2025)

• NocTime time tracking, workshop planner, meal delivery service app
• LLM-based chatbot for controlling the NocTime time tracking system by voice input
• Developing new customer solutions and enhancing existing ones based on the Noctica SAS app framework
• Technologies: Java 17, Spring Boot, JPA, Hibernate, JavaScript, TypeScript, Angular 20, Angular Material, React, C#, Docker, Bash, Git, GitLab, RedMine, SQL, DBeaver, MariaDB, PostgreSQL, Python, Tensorflow, Ollama, various LLMs

• Development of a new generation of Spring Boot microservices for an archiving system on OpenShift, monitoring, security analyses

Stack: Java, Spring Boot, Kafka, Vaadin, OpenShift 4.x, Maven, Artifactory, Jenkins, Git/Github, GitHub Copilot, GitOps, CI/CD, Kargo/ArgoCD

• Design, deploy, and manage scalable, highly available, and fault-tolerant systems on AWS.
• Develop and maintain Docker images for various applications and services.
• Manage Kubernetes clusters for container orchestration, ensuring efficient resource utilization and scalability.
• Monitor and troubleshoot system performance issues, ensuring optimal performance and uptime.
• Collaborate with development teams to understand application requirements and provide infrastructure solutions.
• Implement security best practices for infrastructure, applications, and data.
• Maintain and improve system documentation, procedures, and processes.
• Provide support and mentorship to team members on best practices for cloud infrastructure and containerization.
• Stay updated with the latest industry trends and best practices in cloud computing, containerization, and Dev Ops.