Bootstrap Expert

• Advise early-stage startups on product vision, roadmapping, and GTM strategy, combining PMP and Stanford PM training with hands-on technical execution.
• Lovable: built and led a 200+ member community program for AI-native founders, bridging real-time founder feedback into product roadmap decisions.
• Lead customer discovery and OKR design engagements, scoping AI integration opportunities across client products.

• Implementation of a full-stack application with Angular as frontend framework and Java as backend language
• Use of the Swagger OpenAPI specification for REST communication between frontend and backend applications
• Control of a card printer via the Nexus Card SDK framework
• Design and implementation of card management software with web interface and JavaFX module for printer monitoring
• Use of Cucumber tests for test automation and creation of test artifacts for testing outside the development environment
• Use of Wireshark for network investigations to analyze the API of a third-party product and to check the REST API of the self-developed software

• Opt-in RAG extension over tenant-owned data sources (SharePoint, Confluence) on existing multi-tenant enterprise AI platform
• Architecture: ADRs, solution evaluations, permission strategy, cost modeling
• End-to-end SharePoint and Confluence connectors: OAuth consent flows, token refresh, metadata sync, search integration
• Permission resolution: ACL indexing at ingestion and query-time verification (document-level security)
• Elasticsearch hybrid search (semantic + keyword) with RRF scoring
• RAG chat with context injection and source citations
• Stack: Elastic Cloud, Elasticsearch, Docker, Northflank, Next.js, React, TypeScript, Prisma, Microsoft Graph API, Atlassian REST API, OAuth 2.0

Real-time AWS threat detection using LLMs, UEBA, and vector analytics

• Built UEBA engine processing millions of CloudTrail/GuardDuty events to detect behavioural anomalies in real time.
• Integrated Amazon Bedrock LLMs for narrative threat analysis and structured automated incident summarisation.
• Designed vector embedding pipeline (MongoDB Atlas) for entity behaviour comparison and semantic anomaly detection.

Tech: Python, FastAPI, AWS, MongoDB Atlas, Amazon Bedrock, Pydantic, Motor (Async).

• Industry: B2B
• Headless frontend with AEM integration
• Special challenge: Migrating a PWA application in live operation based on .NET and legacy code; the entire application must be migrated to React and Express.js/TypeScript
• Technical frameworks: Tailwind, XML, JavaScript, Caddy, ReactJS, Express.js, REST API, JSON
• Cloudflare CDN
• Caddy server with GitHub CI/CD pipeline

Building an open-source CRM with AI integrations

Open-source CRM for small teams, offered as a cloud version and as a self-hosted core product. I own the product technically end-to-end: user interface, business logic, data model, interfaces and operations. Since December 2025, I have been working full-time on Customermates.

Responsibilities:

• Designed and built the CRM workflows for contacts, organizations, deals and tasks, with configurable table and board views.
• Frontend with Next.js, React, Tailwind CSS and MobX; backend business logic with Node.js, Prisma and PostgreSQL, input validation with Zod.
• Built a REST API, webhooks and an MCP interface that lets external applications and AI clients work directly with the CRM.
• Integrated AI assistant based on the Vercel AI SDK, with stored conversations and streamed responses.
• Developed and maintain an n8n community integration for CRM operations and event-driven automations.
• Build, delivery and operations with Docker, GitHub Actions and Vercel, both as a cloud offering and for self-hosting.

Results:

• Product live as a cloud and self-hosted version; source code and integrations public on GitHub.
• More than 200 GitHub stars for the CRM repository (as of 09/2026).

Frontend: TypeScript, React, Next.js, Tailwind CSS, MobX

Backend and data: Node.js, Prisma, PostgreSQL, Zod

APIs and AI: REST, Webhooks, MCP, Vercel AI SDK, n8n

Cloud and CI/CD: Docker, GitHub Actions, Vercel

• Led development of 15+ microservices (Java 17, Spring Boot) driving customer interactions; migrated from on-prem to GCP Kubernetes, improving scalability and reducing infra cost by 20%.
• Optimized user services with CouchDB caching and API refactoring, cutting response times by 35% and enhancing customer experience.
• Implemented canary deployments, FluxCD GitOps, and CI/CD optimizations in GitLab, reducing release lead time by 25% and enabling zero-downtime rollouts.
• Set up Grafana health checks and Anodot alerts for latency, error, and throughput monitoring, reducing MTTR by 40%.
• Built secure APIs using OAuth2, DPoP, and Gatekeeper, integrated REST and GraphQL, and achieved 90%+ test coverage with unit and E2E tests.
• Mentored junior developers, promoted Agile best practices, and collaborated cross-functionally to deliver high-impact, reliable customer-facing features.

• Development of automated software tests (unit, integration, regression and end-to-end tests).
• Applied technologies: Playwright, Vitest, JavaScript, TypeScript, Vue3, Go, Laravel, REST API, CI/CD, Docker, Git, GitHub, Scrum, Jira.

Software engineering and integration consulting for enterprise clients, with a focus on backend development, APIs, system integration, and event-driven architectures. Currently developing and evolving a recruitment and staffing platform using Elixir and RabbitMQ, including asynchronous, event-driven communication and integrations with external recruitment and staffing platforms.

IT consulting, analysis, architecture design, new and further development, code review, test automation, continuous integration, continuous delivery in backend and frontend areas for Automotive Project Instavalo.

Frontend:

• Implementation of UI components according to specifications, especially style guides and responsive design eith React and Typescript
• Component testing
• Code documentation
• CI/CD with Gitlab Pipeline

Backend / IoT:

• Analysis and architectural design with AWS Greengrass IoT on Edge Devices
• Setting up Microservices containers with Docker Compose on Edge device with AWS Greengrass and AWS IoT IAM, Token Exchange Service, Ansible
• CI/CD with Gitlab Pipeline, Terraform, AWS ECR
• Logging with Fluentbit Lua Language for AWS Cloudwatch
• Python Lambda for AWS Greengrass Recipe deployment on Edge Devices
• Implementation of test-driven development with JUnit, Mockito, and code Coverage
• Jacoco
• Definition of REST interfaces with OpenAPI / Swagger
• Development and enhancement of software based on Java Quarkus, Typescript NestJs NodeJs and Python
• Authentication and authorization in Aws IAM
• Development of REST and gRPC interfaces for the frontend and backend
• Implementation of Maven dependencies with DevSecOps OWASP
• Spring AI, Jetbrains AI Assistant, Junie, Github Copilot, Claude Code, Agents, Skills, Command, Hooks, Subagents

Methodology: Agile project management

Goal: Digitization and implementation of CCD2 requirements within the Consumer Finance systems.

Analysis, identification, and assessment of business requirements, as well as their transfer into technical implementation requirements. Coordination and status reporting of the various requirements. Documentation and process management using UML and BMPN. Cross-functional stakeholder management, UAT testing, data management, API architecture management.

Tools: Jira, Confluence, Visual Code, Sql Developer, Enterprise Architect, MsOffice, Bruno, ALM, Camunda, Figma

• 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

Cross-brand design system

Focus: Analysis of the causes of recurring layout deviations in design system components. The cause was the integration of visual regression tests (BackstopJS) into the build and approval process: deviations were not blocked, and reference images were replaced without approval.

Recommendations for a controlled workflow with mandatory approval and test results as a prerequisite for merging. Contributed to the successor system based on Lit/Web Components.

Technologies: Lit, Web Components, SCSS, Gulp, BackstopJS, GitHub Enterprise, JFrog Artifactory