Azure DevOps Expert in Berlin

Workflow-automation SaaS for operations teams (Berlin, 120 people); full-time freelance engagement reporting to the CEO: an initial 12-month interim mandate, extended twice through the AI build-out; owned product for one squad and coached the other product managers on process.

• Led generative AI (LLM) integration into the core product: from LLM-powered steps to natural-language workflow authoring and step-level automation suggestions, plus AI-managed dynamic workflows, shipped behind eval gates with human-in-the-loop fallbacks: AI-drafted workflows grew to 31% of all new workflows, and median time-to-first-workflow fell from 3 days to 4 hours.
• Packaged the AI capabilities as a usage-based add-on priced on executed automation steps, working with sales and marketing on positioning: ~€800K added ARR in the first year, and adopting accounts churned 1.8 pp less.
• Owned the roadmap end to end: replaced feature-request-driven quarterly planning with an outcome-based rolling roadmap built on quarterly bets and explicit kill criteria, presented monthly to the executive team and quarterly to the board.
• Rebuilt the product-management operating system: weekly customer-discovery cadence incl. workshop facilitation, RFC/decision-doc reviews and a single quarterly metrics narrative; coached four product managers, one promoted to senior during the engagement.
• Closed the engagement as scoped: hired and onboarded the permanent VP Product, handed over the process playbook and roadmap, and exited on schedule in June 2026.

AI Platform Backend – Senior Developer

Brought in to design and build a backend for an AI platform from scratch, including multi-provider LLM orchestration and real-time infrastructure for AI influencer personas at scale.

Tasks and responsibilities

• Architecture and implementation of a multi-LLM orchestration layer with Semantic Kernel to integrate GPT-4 and other providers for core platform logic and AI influencer personas, reducing model-switching overhead by abstracting provider APIs behind a single interface.
• Design and development of a backend from scratch in C# / .NET 10, including domain modeling with DDD, a versioned RESTful API layer, and cloud infrastructure setup on Azure.
• Built a real-time chat infrastructure with Server-Sent Events (SSE), message persistence, and delivery guarantees for live operation of AI influencer personas at scale.
• Developed a media management service with integration of cloud object storage for upload and retrieval of influencer-generated content.
• Created an integration and unit test suite with data seeding for reliable regression testing across all core platform flows, significantly reducing production error rates.

Tools and technologies: C#, .NET, ASP.NET Core, Python, TypeScript, MySQL, Semantic Kernel, EF Core, Minimal APIs, LLM Orchestration, Prompt Engineering, Agentic AI, Generative AI, AI-Assisted Engineering, Claude Code, GitHub Copilot, Google Gemini, OpenAI API, Ollama, Redis, Azure, Azure Container Apps, Azure Database for MySQL, Docker, GitHub Actions, Clean Architecture, Vertical Slice Architecture, CQRS, Domain-Driven Design, REST API, xUnit, Integration Testing, Unit Testing, Jira, Confluence, Scrum

• Lecturer for the GenAI Track at the Master School Institute of Technology
• Development of a full-stack AI application (React + Python/FastAPI) for automated supplier product import with intelligent column and category classification (4-layer hierarchical) including human-in-the-loop validation

• Course duration: 46 min
• Certificate Id: Ab2Hw1PxFkKCHeycuKNujzCTWS6T

• Developed and implemented organization-wide discovery framework based on Ulwick’s Outcome-Driven Innovation; enabled 7 Product Owners to systematically identify and quantify unrealized value through shared outcome language and opportunity scoring methodology
• Transformed Product Owner role from backlog clerks to strategic experimenters; established dedicated time budget for autonomous hypothesis testing and discovery activities
• Rebuilt customer journey maps to start at actual user need (tool selection phase) instead of platform entry point; eliminated manual data aggregation work previously done by project teams
• Implemented OKR framework across 4 product teams; defined quarterly objectives with measurable key results (e.g., 40% reduction in manual integration effort, self-service adoption increase)
• Unified 3 separate platform roadmaps through cross-team dependency mapping and shared service agreements
• Supported enterprise sales cycle with ROI modeling and technical due diligence for automotive and defense customers

• Bootstrapping a CloudOps team and building a multi-cloud provider backend for a low-code Internal Developer Platform (IDP) with env zero

• Introducing user story mapping, ADRs, milestones, and backlog management

• Designing and developing core APIs, setting up CI/CD pipelines, OpenTofu/Terraform scripts

• Representing and communicating the team with third-party stakeholders (e.g. env zero)

• (Cross-)team coaching on DevOps, software design, Terraform, Golang, and agile practices

• Development of a scaled agile working model for the work dimensions: values, roles, events, artifacts and workflows
• Team size: four delivery teams with 48 team members, five product owners, three agile masters
• Development of strategies in the area of scaled agile product development according to Scrum, LeSS and the New Work Heroes transformation helix
• Moderation of the SOL Planning Workshop for the overall project with more than 100 participants (PI planning according to SAFe)
• Coaching of all five areas and their managers for the SOL Planning Workshop (structuring the work packages, preparing the planning board)
• Coaching and mentoring for the three Agile Masters in the scaled agile team environment (four+ delivery teams)
• Moderation of scaled agile events, such as Sprint Planning I-III, Multiteam Refinement II, Sprint Review, overall team retrospective
• Support in consulting for stakeholder management and the strategic area of all project partners (construction site management: Inge, ARGE, cable producer NKT GmbH)
• Support for increasing measurability and the development of metrics according to agile product development
• Moderation of workshops, training and coaching for the overall project
• Methods and tools: Product Ownership, Scrum Mastery, Systems Thinking, User Story Mapping, Teamhood (backlog ticketing system), Miro, Kanban, Flight Level; certifications: LeSS Certified Practitioner, SAFe PI-Planning Moderator

• Role & Scope Responsible for realigning a unit of 600+ people as part of the top leadership team. Led a team of agile coaches and oversaw the entire transformation architecture – strategic, structural and cultural.

• Result The organization was fundamentally professionalized – reduced friction and costs, faster execution, higher team motivation and visibly more effective leadership.

Key Contributions

• Redesigned strategy and implementation processes
• Created a clear link between vision, priorities and operational execution
• Established business-IT alignment and communication structures
• Embedded shared goals, priorities and decision paths
• Developed a leadership-operating model
• Strengthened roles, responsibilities and leadership culture
• Introduced a unit-wide impediment removal process
• Systematically identified obstacles, assigned owners and developed solutions
• Consolidated 35+ Jira boards
• Created cross-unit manageability and transparency
• Led a team of agile coaches; established skill matrices and improvement processes
• Solidified a learning and development culture

• Practical seminar “Generative AI in Software Development”
• Mobile apps and cloud computing
• Internet of Things, smart home, and consumer healthcare
• The future of mobile communication

• Developed a Generative AI-based image recommendation engine for an AI video production system
• Implemented automatic image analysis with GPT-4o
• Built semantic vector search using OpenAI embeddings, MongoDB, and OpenSearch
• Tagged and indexed 4 million customer assets
• Redeveloped recommendation engine with a hybrid, balanced keyword and vector search plus filters

• Designed and developed image classification models for computer vision tasks, including dataset creation, preprocessing, validation, and visualization; applied machine learning and deep learning techniques to optimize accuracy and performance.
• Conducted experiments with appropriate ML algorithms, LLM-based approaches, and tools; performed statistical analysis, hyperparameter tuning, and fine-tuning using test results for robust model performance.
• Developed and optimized CRUD operation APIs using Node.js (Fastify) and Flask (Python), improving latency and ensuring scalability.
• Implemented backend solutions with SQLAlchemy for database management, and automated workflows using cron jobs and AWS Lambda functions.
• Experienced in implementing and maintaining CI/CD pipelines to streamline deployments and ensure reliable software delivery.
• Consistently achieved service time and quality targets while maintaining strong, collaborative, and professional working relationships across teams.

• Collaborated with impacted stakeholders and project team members to complete change impact assessments and deliver a training plan with a series of just-in-time, blend-learning opportunities.

• Implemented a transition plan, leveraging community focal points and in-country implementation partners for effective communication and engagement, defining change readiness checklists, and preparing to transition over 10,000 global community members from version 1 to version 2 of the EIOS system.

• Delivered a communications and engagement strategy to scale-up a global collaboration platform, growing 190 modellers and analysts to over 1000 connected community members within 15 communities in 6 months, enabling collaboration for greater public health impact.

• Implemented a monitoring and evaluation framework to measure the success and impact of the platform in collaboration and public health decision making, providing key storytelling opportunities, reporting for donors and highlighting focus areas for continuous improvement.

• Delivered bite-sized learning and webinars to upskill department colleagues in topics such as stakeholder engagement, resistance management and change methodologies to mitigate limited in-house change management capacity.

• Delivered a change approach to pilot a new one health competency framework for field epidemiology training programmes in Turkey, Nigeria and Thailand, focusing on partnering with in-country implementation coordinators to identify local impacts and needs.

• Partnered with Bangladesh country office to facilitate stakeholder analysis sessions and empower them to identify in-country change agents to implement the one health competency framework.

• Frontend modernization (multiple client engagements): Angular version upgrades, architecture refactoring, performance optimization, state management restructuring, and UI library consolidation resulting in faster load times and improved end-user experience across all projects.
• Web development: High-performance landing pages and company websites for SMB clients built with Next.js, SvelteKit, PayloadCMS, and TailwindCSS optimized for speed, SEO, and conversion.
• SaaS product development: Architecting and building an AI-powered platform for photography studio operators (PoC phase) with full-stack TypeScript: Angular frontend, NestJS backend, PostgreSQL, LLM integration (Gemini/Claude) for intelligent workflow automation.
• AI integration: Developed a PoC for AI-generated podcast avatars using the Gemini API for content production workflows.
• Angular deep dive workshops: Delivered 20+ workshops (3–5 days each, 8–10 participants) in a hands-on format where participants build a demo application modeled after their real business domain.