Metabase Experts in Berlin

• Built a JTBD-based prioritization framework for 3,000+ accumulated feature requests, identified 27 broker jobs, validated 8 through 25 user interviews, and used the resulting job map as a live prioritization filter for all incoming channels (Upvoty, CSAT, consulting tickets).
• Responsible for the Scout24 Lighthouse initiative: Document Intelligence with full RAG architecture (semantic chunking, bge-m3 embeddings, pgvector, BM25+Dense hybrid retrieval).
• Reduced lead time of customer feature requests to 3.1 days through code analysis, ticket specification, and independent implementation using a coding agent (Codex).
• Developed an LLM-based support agent (GPT-4o mini, Codex-generated merge requests) that reduced 3rd-level escalations from 40% to 5% of all monthly tickets.
• Integrated six partners through technical coordination, specification, backlog and release management, and led seven full stack developers.
• Eliminated regulatory exposure for brokers in six weeks through risk analysis (BGH ruling on distance selling/GDPR), new audit features, and coordination with legal and data protection officers.

• Fractional leadership; consulting growth-stage startups and scale-ups on data strategy, ML products, and platform foundations
• Building decisioning systems for growth, personalization, & product experimentation, across e-Commerce, Digital Health, Energy, and Logistics
• Exploring Agentic AI & LLM-based tooling for production readiness patterns

• Assessment of the existing reporting landscape and strategic bundling of needs
• Migration and consolidation of reports to Metabase, connected to ClickHouse as the data foundation
• Building and maintaining data pipelines

Stack: Metabase · ClickHouse · Appsmith · Airflow

• Responsible for cross-department requirements management in collaboration with business units, IT, and external vendors
• Gathering, structuring, consolidating, and prioritizing business requirements from various company departments
• Modeling and documenting business processes using BPMN as a basis for transparency and further development of existing solutions
• Analyzing existing business processes and identifying optimization opportunities
• Refining business requirements with regard to feasibility, cost-effectiveness, and impact on adjacent processes
• Facilitating business alignment sessions with relevant stakeholders to refine requirements and support decision-making
• Creating actionable business concepts for IT development
• Supporting implementation, testing, and rollout of new or adjusted solutions
• Assisting in standardizing requirements and processes to build a reliable decision-making foundation

• Held two on-site guest lecture sessions for Product Management students covering “Agile Values Principles” and “Implementing Agile Processes”

• Define and own the end-to-end product lifecycle for flagship project (web and mobile app, more than 15M total users). Lead delivery, track and analyse product metrics, data and KPIs.
• Drive roadmap planning: translate long-term product vision and product strategy, business objectives, customer needs into a prioritised backlog for cross-functional teams.
• Lead cross-functional teams using Agile methodologies: facilitate daily stand-up meetings, sprint planning, poker-planning, retrospectives, and demos; conduct feature kick-off meetings.
• Maintain clear and trust communication with stakeholders through product updates, presentations and regular reports, acting as a bridge between technical teams and business leaders.
• Apply data-driven hands-on approach with product analytics, experimentation, and customer interviews for decision-making across product development.
• Contribute to annual strategic planning with the Board by translating market dynamics, customer needs and competitive positioning into actionable product roadmap and goals.
• Increased in-app conversion by 13% and reduced average purchase time by 50% through Google Analytics implementation and UX/UI redesign.
• Reduced support workload by 60% by implementing an AI-powered support system with a knowledge base and automated Jira ticket creation.
• Reduced key client churn by 14% and increased internal project revenue by 22% YoY by building a data-driven analytics framework in Power BI.
• Optimised referral program costs by 17% and improved retention by 22%.
• Enabled global market expansion across 6+ regions by leading the design and delivery of a payment integration platform, integrating 10+ payment methods via a unified API.

• Performed qualitative and quantitative analysis of extracted findings, categorizing themes, evaluating methodologies, and assessing study quality and reliability.
• Produced research reports and evidence summaries communicating key trends, gaps, and opportunities to academic advisors or cross-functional teams.
• Presented findings through well-structured visualizations, tables, and narrative summaries to support decision-making and guide future research directions.

• Defined product strategy for healthcare identity management: B2B platform expansion, compliance foundation for future audits, and expansion into new practitioner segments

• Assessed payment platform viability through customer interviews—evidence showed customers needed 7 distinct solutions, not one platform

• Took on CTO role after departure—established predictable development process, achieved 80%+ delivery predictability

• Built structured product function: assessed capabilities, enabled scaling, hired Senior PMs, defined Product and Product Development responsibilities across organization (resolved conflicting interpretations)

• Built product operating system: outcome roadmaps, discovery/validation processes, data-driven decisions—shifted team to strategic planning

• Enabled transparent growth paths: created career frameworks across Product, Customer Success, and Engineering

• Planned loss → profit, 19% revenue growth

• 70% interruption reduction

• 80%+ delivery predictability

• Velocity +100-150%

• Developer satisfaction 75-80%

• Cross-functional alignment across Product/Engineering/Sales/Marketing/CS

Geeks Ltd is a UK-based technology company; WordUp is its AI-driven language-learning product focused on personalized vocabulary learning and intelligent educational experiences.

• Coordinate AI product delivery across Product, Engineering, Data, Operations, and leadership, translating user needs into scoped initiatives, sequencing work, surfacing blockers, facilitating hand-offs, and communicating progress.
• Own search, recommendation, retrieval, and content-enrichment features end to end, from requirements and architecture through Python/FastAPI implementation, testing, deployment, monitoring, and rapid iteration.
• Developed low-latency retrieval, ranking, and personalization services using AWS, OpenSearch, DynamoDB, embeddings, and reusable APIs, achieving <1s latency, 22% higher engagement, and 12% higher premium conversion.
• Use AI coding assistants for codebase analysis, scaffolding, refactoring, tests, debugging, and documentation while reviewing every output for correctness, architectural fit, security, maintainability, and user value.
• Represent technical work in planning and stakeholder discussions, gather requirements first-hand, challenge priorities constructively, explain delivery trade-offs, and help teammates make outcome-focused decisions.

• Fullstack development of our product: a web app (VueJS), Chrome extension (VueJS), SDK (JS), API (NodeJS), GraphQL server (Hasura, Postgres)
• Included development of multiple user-facing features, conversion of app and extension from Vue2 to Vue3, implementation of E2E testing system (Playwright), as well as debugging and refactors, on a team from 2 to 4 developers
• Deployment on Google Cloud Storage, including management of CI pipelines and jobs

• Took over and restructured a team of 24 employees
• Strategic direction and scaling of sales: developed and implemented a long-term sales strategy, adapted to market and regulatory conditions, and led and structured the sales team
• Sales communication and presentation: redesigned the core sales pitch and effectively communicated the value proposition
• Controlling and reporting: created a KPI setup, monitored revenue forecasts, and provided regular reports to senior management

• Led AI D2C checkout optimization Agent product strategy; instrumented Langfuse for AI evals (task success, latency, cost), iterated on prompts & routing, & drove adoption via cross-team (sales, mktg. & Cust. Success) enablement & 100-merchant launch event
• Led product discovery & built revenue optimization tools, created dashboards with funnel observability using Grafana to track conversion flows, drop-offs, latency, & errors, revenue up by €22.5K+/m
• Built & deployed 3 automation workflows using Claude Code: daily transaction anomaly detection with auto-ticket creation, weekly RCA analysis, monthly feature collation for leadership townhalls, reduced manual effort by 10+ hours/week
• Launched AI voice agent (demo) for e-commerce order & address confirmation/update workflow, designed multi-turn dialogue flows using Pipecat Framework, achieved 71% call pick rate, 100+ Shopify App Store installs
• Owned e2e product lifecycle for 30+ brand (B2B) integrations, collaborate cross-functional teams, ensured payment processing reliability at critical checkout touchpoints, established SLA framework, RCA cadences & ensured 99% SLA adherence
• Led Agile practices as Scrum Master for team of 12, owned sprint & release planning in Jira, established RCA cadences for transaction discrepancy analysis & observability KPIs with Grafana dashboards and delivered 3 major releases on time