Apache Superset Experts in Germany

Led FP&A tech transformation for a 9-figure business – from resolving legacy technical debt to leading AI-native EPM implementation

• Driving end-to-end FP&A transformation, from architecture redesign through EPM tool selection to rollout
• Ran evaluation of 12+ EPM platforms, from vendor negotiation to selection framework tied to long-term planning
• Diagnosed constraints in financial planning architecture, presented findings to the CFO, and secured executive mandate to redesign FP&A infrastructure from the ground up

Development of a route planner for incident communication.

• Development of the REST API
• Set up a patch system for maintaining the routing graph
• Expansion of the testing infrastructure
• Performance and memory optimization (JMeter, JFR)

Technologies: Java 21, Spring Boot, JGraphT, Flyway, MapStruct, Caffeine, ShedLock, JMeter, Kubernetes, JFR

• Elevated LLM output reliability by engineering domain-specific prompts and evaluation logic, improving reasoning consistency across production language model workflows.
• Designed advanced coding benchmarks and validated solutions to strengthen training and evaluation datasets, improving model performance on technical problem-solving tasks.
• Designed and implemented automated evaluation frameworks for technical reasoning tasks; optimized LLM output reliability by 15% through rigorous prompt engineering and rubric-based benchmarking.

• Own strategy and roadmap for the payment orchestration and risk intelligence products serving enterprise subscription customers.
• Conduct deep workflow discovery and user interviews to redesign onboarding experience, resulting in 5× funnel throughput and 70% reduction in manual steps.
• Define PRDs for scalable data pipelines, fraud signals, and automation logic, improving insight accuracy and speed of decision-making by 30%.
• Partner with engineering, data, design, and security to ship 15+ enterprise features with 100% successful release quality.
• Introduce risk analytics dashboards and performance KPIs, reducing investigation time by 40% and improving visibility across teams.
• Lead prioritization of new capabilities, tech debt, and security initiatives (PCI DSS, access controls, auditability).
• Lead development of ML-based fraud detection models (regression, decision trees) to identify high-risk transactions, reducing chargebacks by 20%.
• Design end-to-end analytics dashboards (Tableau, Redshift) to visualise global risk exposure, cutting onboarding SLA from 2.4 days to 3 minutes.
• Partner with engineering and data teams to deploy scalable payment risk frameworks, enhancing compliance visibility and decision speed.
• Mentor analysts and data scientists through agile sprint cycles, embedding a data-driven culture across risk operations.

• 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.

• Defined a generic, universal system platform for XR (AR, VR) use cases as part of the European IPCEI initiative
• Evaluated available options for backend, streaming and client implementations
• Developed PoC implementations and conducted technical evaluation of potential components
• Led the development team and defined the target system architecture for a complete end-to-end solution
• Designed and integrated GenAI PoCs (LLM, time series, prediction, agents)
• Researched NeRFs and Gaussian Splatting for XR content creation and analyzed methods to measure and reduce system latencies
• Worked on GPU scheduling, CUDA and related topics
• Defined and implemented backoffice and end user dashboards using Grafana and Superset
• Used Jaeger tracing to analyze specific events
• Defined a GenAI-based automatic alerting feature for specific events and event clusters with KPI values
• Integrated AR/VR/XR IoT devices
• Collaborated with business development and UX teams in a parallel design thinking track to align technical and customer journey scopes
• Integrated the new services and platform into existing telco environments and analyzed tools like Camara for partial integration and handover scenarios

• Maintenance and enhancement of a Siebel CRM Service & Marketing implementation (Siebel 23.1, OpenText, OBIEE, Informatica).

• Architected and operated cloud-based data and ML platforms for autonomous driving and parking systems, supporting large-scale (multi PB scale) simulation and vehicle data ingestion.
• Implemented security, compliance, and governance standards across Azure subscriptions and cloud resources.
• Managed GitHub organizations and CI/CD pipelines to improve deployment reliability and developer productivity.
• Contributed to hiring and technical interviews as part of the recruitment panel.

Implemented Power BI reporting for various departments at an energy provider. Agile project: responsible for organizing and coordinating with departments and IT, and regularly presented interim steps and results to project management.

• Further development and creation of data flows for health insurance providers
• Data management across various storage systems (DB2, MSSQL, PostgreSQL, S3, custom APIs, ...)
• Documentation and training
• Planning and deployment of NiFi 2.x (major upgrade)
• Integrating Grafana for visualization, monitoring, and alerting
• Extensive use of the NiFi API to continuously monitor the system and its components