GraphQL Experts in Frankfurt

• Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
• GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
• AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner

• Built an MCP (Model Context Protocol) layer for Mwanachama's agency service, turning domain manager methods into callable AI-agent tools. This included a composite tool that builds a full organization design (org chart, goals, workflows, RACI matrix) from one specification.
• Built the chat-driven agency builder (Wakala Studio and API), where an organization describes its structure in natural language and an AI agent uses those tools to construct and modify the live design.
• Added an insights service so an organization can review AI-agent interactions and completed work. Insights from that review feed back into solution design, gated by architect and user sign-off.
• Alongside this, designed and built the platform itself: ~20 Go microservices on PostgreSQL, Flutter and React clients, deployed on Kubernetes.
• AI agents scan the platform autonomously for security gaps and run scripted tests, covering API (Postman-style) and UI testing. The rest of the work stays supervised. No rogue agents, promise.
• Building an AI-native enterprise platform that structures organizational data, workflows and responsibilities for both people and AI agents.
• Models accountability through RACI, allowing human and AI participants to take different operational roles, including Responsible, Accountable, Consulted and Informed. AI agents can also take controlled approval roles where the organization assigns that responsibility.
• Extended the organizational and operational-risk themes from my Executive MBA thesis into software, making roles, processes and controls explicit and machine-readable.
• Structures enterprise context so LLM interactions use more relevant information instead of repeatedly processing large amounts of unstructured content.

• Development and optimization of the RTL+ frontend application for SmartTV and set-top box platforms with React and Next.js.
• Key role in the technical coordination of developers within the team and in coordinating implementation.
• Central interface to adjacent teams to simplify development processes and improve cross-team alignment.
• Improved frontend performance, stability, and rendering behavior on low-powered devices in a restricted runtime environment.
• Implemented a frontend testing strategy with Jest, React Testing Library, and Playwright.
• Implemented accessibility improvements according to WCAG 2.2 and WAI-ARIA.
• Integrated Didomi Consent Management as a contribution to increasing ad monetization on streaming platforms.
• Used AI-supported engineering workflows with Cursor for structured implementation, refactoring, and faster problem solving.

Technologies used: React, Next.js, TypeScript, JavaScript, GraphQL, Apollo Gateway, Zustand, Tailwind CSS, Styled Components, React Testing Library, Playwright, Jest, HTML5, CSS3, AWS Lambda, EC2, CloudFront, S3, GitLab CI/CD, NX, Cursor

Statistical Forecasting Algorithm

• Improvement of an statistical probabilistic forecasting algorithm for sales + evaluation
• Migration from R/On-premise to Python/Snowflake
• Productionalization on Snowflake in cooperation with data engineers & DevOps

Monitoring Dashboard

• Data engineering for preparation & provisioning of necessary data/resources on Snowflake
• Development & deployment of a Streamlit dashboard in Snowflake

ML-based Probabilistic Forecasting on Vertex AI

• Development of a ML-based probabilistic forecasting algorithm from scratch
• Implementation of MLOps pipeline in Kubeflow on Google Cloud Vertex AI

Tech Stack: Python, Snowflake/Snowpark, R, Streamlit, Gitlab/Gitlab CICD, Terraform, Google Cloud, Vertex AI (aiplatform SDK, gcloud CLI, feature store, model registry, etc), kubeflow

• Co-built a full e-signature and identity verification platform in a two-person team with a senior backend developer, with no designer or PM: all product, UX, and scope decisions made jointly.

Next.js / TypeScript

• Analyze business situation: stagnation of sales, small recurring customer rate, huge number of visitors but little conversion rate, average order value does not increase, no customer segmentation or targeting, performance marketing approach fails to acquire the right customer
• Advise on sales and marketing strategies and improve operations; agile coach advice with key business strategy using Scrum and Kanban
• Acquire key requirements and derive user stories for e-shop product owner development and customer data analysis
• Develop comprehensive 360 degree customer data model using Shopify and Amazon; implement data feeds from more than 10 systems (Klaviyo, Typeform)
• Develop meaningful ad-hoc data analysis detailing aspects of Triple Whale customer behavior using standard e-commerce KPIs such as AOV, Google Analytics, churn, conversion and abandoned checkout rates, ROAS, CPA, CPC; tools: SQL, Power Query
• Derive clear and data-driven customer segmentation and targeting; ETL processes and Power BI
• Introduce and feed new content agency with customer insights using GraphQL and Postman; improve messages, frequency, and targeted audience; Microsoft Planner
• Provide crystal clear data proof to steer new performance marketing approach
• Develop standard business operations reporting

• Led and coordinated consumption and price calculations for gas and electricity forecasts to ensure accurate and reliable price determination
• Implemented modern .NET 7-based microservices and Web APIs in an Azure environment using Azure App Service, Azure Storage and Azure Service Bus
• Created and managed infrastructure in Azure using Terraform, including resource provisioning and the automation of deployment processes
• Developed and maintained Azure DevOps pipelines to optimize build, test and release workflows
• Optimized data management with SQL Server and ensured seamless integration across all services
• Developed the frontend with Angular 16, TypeScript, CSS, HTML and Kendo UI to provide an intuitive and engaging user interface

• Design, extension, and implementation of interfaces (REST, GraphQL, Kafka)
• Architecture and implementation of cloud-native microservices on Azure Kubernetes Service
• Domain-Driven Design, Event-Driven Architecture with Kafka
• Development of an extensive query engine for REST endpoints based on business objects
• Design and implementation of master data classification using machine learning algorithms (Weka library, Spotify Voyager)
• Analysis and evaluation of complex load test scenarios and derivation of optimizations
• Increase in system resilience (Kafka error handling, circuit breaker, sidecar service mesh in Go)
• Integration with CIAM systems (asynchronous real-time synchronization and definition of data ownership, authorization, authentication)
• Connection to Azure ServiceBus (AMQP protocol)
• Design and implementation of complex authorization concepts (including delegated administration)
• Documentation of the results (Confluence, architecture descriptions, architecture decisions)

• Main developer in an online retail company
• Built an online shop using the Next.JS React framework
• Integrated the site with dozens of third-party apps using REST and GraphQL APIs
• Built a backend for order management, warehouse management (with iPhone app), and supply management
• Automated invoicing and finances with QuickBooks

• Testing the SekIDP and related components
• Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript

• Involved in the full development lifecycle, including design, coding, testing, and deployment of Java-based applications.
• Built and maintained high-performance RESTful APIs and microservices, ensuring scalability and reliable data exchange.
• Practiced code reviews, used version control systems (e.g., Git), and collaborated closely with cross-functional teams to deliver robust software solutions.
• Implemented, managed, and optimized complex business logic and decision-making processes using the Drools Rules Engine, leveraging DRL (Drools Rule Language) for dynamic configuration.
• Developed software solutions for a major service provider in the healthcare insurance sector, specifically focusing on claims processing and reconciliation logic to ensure cost-effective reimbursement for health funds.

• Business analysis of payments for the introduction of Wero EPI in Germany.
• Analysis and optimization of merchant processes in the context of acquiring and issuing.
• Analysis of interfaces for instant payments.
• Analysis of SCT-Inst processes, settlement mechanisms and reporting processes.
• Identification and clarification of gaps in merchant processes.
• Analysis and documentation of clearing and settlement processes.
• OSPlus process analysis and documentation.
• Coordination and alignment with scheme management as well as various payment service providers and financial institutions on merchant processes.
• Preparation and follow-up as well as active participation in EPI meetings on technical coordination and regulatory topics in payments, including content familiarization and prioritization.
• Preparation and documentation of project and steering committees in the EPI environment.
• Creation of status reports for the subproject.
• Maintenance and structuring of Confluence pages for project documentation.
• Coordination and alignment with the issuing teams on individual customer processes as well as aligning with bank processes and acquirer processes in the Wero environment.
• Communication with payment service providers regarding merchant and bank processes in the Wero environment.
• Organizational support for project management in special tasks in the EPI and Wero environment.
• Digital filing and documentation in Confluence and Microsoft Teams.
• Planning, implementation and tracking of work packages and steps.
• Quality assurance and project control.
• Consulting on IT strategy, IT architecture and interface management in the EPI and Wero environment.
• Technical environment: Jira, Confluence, XML, JSON, MS Office (Word, Excel, Teams, PowerPoint), SharePoint, Draw.io, Innovator, 3rd-level support, ITIL, creation and updating of software documentation, interface management, OSPlus, Scrum, KYC, payment, European Payments Initiative (EPI), Wero, Microsoft Loop, Instant Payments, SCT-Inst.

• IAUP (Interregional Academy of Personnel Management) commissioned the development of a distance learning system for its secondary school subdivision.
• Development of the website [link]
• Development of a billing system and integration with various payment systems
• Development of a distance learning system based on the open source Moodle solution
• Integration of the distance learning system into the user office on the [link] website
• Front-end: Vue.js v2, Nuxt.js, JavaScript, HTML, CSS, SCSS
• Back-end: LAMP (Linux, Apache, MySQL, PHP), PHP Framework Laravel, Redis, Swagger, MySQL 8.x, PayPal API
• DevOps: Docker, CI/CD, GIT

• Working for customer and internal projects ranging from B2C, B2B applications
• Development and maintenance of customer-facing and internal applications across B2C and B2B domains
• Responsibility for technical direction, architectural decisions and code quality standards
• Design and implementation of scalable application architectures, including modular frontend and service-oriented backend structures
• Conceptual planning and technical execution of the agency website relaunch in Angular
• Rapid prototyping and MVP development for B2B customer projects in the pharmaceutical sector with Vue.js
• Creation of first MVPs for 3D rendering–based products, including real-time visualization and interactive experiences
• Strong UX/UI expertise with a focus on gamification, user engagement and conversion-driven interfaces
• Close collaboration with product management, design and stakeholders to translate business requirements into technical solutions
• Agile software development using Scrum, including sprint planning, reviews and retrospectives, supported by Azure DevOps
• Full-stack development using React, Angular, TypeScript, Vue.js, HTML5, CSS3/SCSS, C#, .NET, Node.js, RESTful APIs, Unity, Azure DevOps, Git and CI/CD pipelines