Android Studio Experts in Germany

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

• QA Lead for end-to-end quality assurance of the Sparkasse & Sparkasse Business banking apps (iOS/Android); design and implementation of the Test Strategy including functional testing, regression testing, and UAT for eID, Push Notifications, and white-label components
• Creation and maintenance of test concepts and test plans in TestRail; structured Defect Management and error analysis; stakeholder management and risk management for the early identification of critical quality risks
• Accessibility Testing according to WCAG 2.1 (iOS/Android); coordination of AI-supported test automation and optimization of test processes to shorten release cycles
• Release Management: planning, management, and coordination of all test activities; status reporting to management and stakeholders; quality assessment of releases and release recommendations in an Agile/Scrum environment
• Challenge: Highly complex build and release process across several Sparkasse institutions; close coordination with the DevOps team to stabilize the CI/CD pipeline and ensure reproducible test builds before every release.

Tools: Jira, Confluence, TestRail, Android Studio, Xcode, Firebase, Jenkins, GA4

• Success: Successful launch of the eID authentication process - quality assurance ensured for 50+ Sparkasse institutions

• 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.

• Overall responsibility for the project lifecycle from scope definition to completion
• Close collaboration with platform teams, IT leaders, and external service providers
• Application of SAFe principles and structured sprint work
• Creation of a migration roadmap with clear milestones
• Monitoring of the lifecycle: onboarding, repository migration, replication of permissions, and system tests
• Visualization of the architecture with PlantUML and Gliffy as well as documentation in Confluence
• Regular status reports and running knowledge transfer sessions

• 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

• 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.

• 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.

• 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

• Managing projects, including steering the international project team of up to 15 staff
• Intensive customer communication
• V-modell according to Automotive SPICE

• Authored and self-published digital books, transforming original ideas into structured content
• Planned and executed content strategies to promote publications across multiple social media platforms
• Established and managed accounts on YouTube, Instagram, X (Twitter), and TikTok to build an international audience
• Produced educational short-form videos focused on geography, world facts, history, and science
• Created country-focused content explaining culture through famous personalities, cuisine, landmarks, discoveries, and iconic brands
• Applied AI technologies such as text-to-speech, text-to-video, text-to-image, and prompt engineering to enhance content creation
• Designed and animated interactive quiz videos, flag-drawing sequences, and culturally themed explanations
• Developed interactive formats (quizzes, games, facts) to increase global awareness and cross-cultural understanding
• Focused on making complex topics accessible and entertaining to a diverse, international audience

• Analysis and optimization of business processes in financial accounting
• Customizing in SAP FI (e.g. company codes, chart of accounts, payments)
• Integration with other modules such as CO, MM, SD
• Consulting on legal requirements (e.g. GoBD, UStG)
• Support with month-end and year-end closing
• Creation of test plans (system test, integration test, UAT)
• Definition of test cases (e.g. postings, payment runs, dunning runs)
• Selection of suitable test data and scenarios
• Manual testing of posting processes (e.g. customer invoice, payment run)
• Validation of automatic postings (e.g. for MM credit memo)
• Checking interfaces (e.g. to subsystems or non-SAP solutions)
• Documentation of defects in the test tool (e.g. Jira, ALM)
• Analysis and feedback to developers or the customizing team
• Retest after bug fixes
• E2E tests with SAP Solution Manager (SOLMAN)
• Use of tools such as SAP CBTA or Micro Focus UFT

• Analysis
• Consulting
• Software design
• Development
• Automation
• Testing
• Deployment
• Architecture, development and deployment of various proof-of-concept applications around the integration of current AI interfaces including conversational, realtime voice, images and videos
• Developed best practices for working with agentic systems and AI in practice
• Created code templates

• Technical and professional management of software and ML development; largely independent implementation of programming and guidance of the team and external project partners
• Design, creation, and preparation of training and test data sets from experimental image data and simulations
• Selection, implementation, training, validation, and testing of neural networks for image-based reconstruction and transformation
• Systematic evaluation, comparison, and optimization of various model architectures (convolutional neural networks, generative adversarial networks, autoencoders, transformers)
• Design and implementation of explainable AI analyses for model interpretability and robustness assessment (analysis of feature maps, augmentation studies, guided backpropagation)
• Presentation of the developed methods and results in project meetings and at international conferences