Technical Debt Experts in Germany

• Analysis of the existing CAN communication between microcontrollers
• Analysis of the sensors used and the measured values collected
• Planning the CAN messages for transmitting the measured values
• Iterative adjustment of the microcontroller code to the new CAN messages
• Cross-compilation from x64 to arm64

• Responsible for infrastructure, operations, network and VoIP, security, quality assurance, as well as asset management and business continuity
• Planning and implementation of all requirements related to NIS 2.0
• Responsible for application development
• Company-wide implementation of SAP S/4Hana and leading development of new business processes, incl. cut-over planning
• Digital transformation and cultural transformation toward a "doer mentality"
• Realignment of infrastructure (hybrid)
• Restructuring of the organization with partial outsourcing
• Management of four direct reports with a total of 25 internal and external employees
• Budget responsibility of up to €25 million

Assessment of the product, delivery, and AI organization with a realignment of operational excellence, target architecture, and AI-first operating model

Situation: The product and delivery organization showed structural weaknesses in efficiency, control, and collaboration. In addition, there was no clear target architecture for AI-driven product and organizational development. At leadership level, there was limited transparency regarding roles, responsibilities, and operational performance.

Responsibility & approach:

• Analysis of the existing product, delivery, and organizational structures in terms of processes, governance, and controllability
• Evaluation of architecture and platform with regard to scalability, future readiness, and AI integration
• Development of a target picture for an AI-first product and delivery operating model
• Derivation of concrete measures to improve operational excellence and collaboration
• Sparring with the leadership team on structured organizational development

Results & impact:

• Creation of transparency regarding structural bottlenecks, performance, and decision-making logic
• Development of a target structure for a scalable AI-first product and delivery setup
• Improvement of decision-making capability and control at leadership level
• Creation of a solid basis for downstream transformation measures
• Definition of concrete levers to improve efficiency, collaboration, and time-to-market

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

• Agile coach and scrum master in property insurance/underwriting for Allianz Technology
• Team 1: Kanban/Scrumban team in DevOps mode – new features, distributed monolith to microservices, reduction of technical debt & refactoring, implementation of CI/CD, expansion of automated testing
• Team 2: SAFe team – greenfield service for global software and German adaptation, AI integration (Cythora)
• Scrum trainings, scrum manuals in Confluence, all ceremonies, establishment of an experimental just culture, team replacement and scaling from 7 to 20
• Requirements engineering, prioritization via business value for product owners, risk identification
• Project budget management, JIRA monitoring and automation, steering committee support, test strategy
• SAFe integration, PI planning, flight levels and road mapping

• Partner directly with C-level leadership (CEO, CAIO, CTO) on architecture, OKR strategy, and cross-team roadmap prioritization, translating strategic goals into structured engineering requirements.
• Surfaced and mapped technical debt across the entire organization with C-level leadership and co-defined a prioritized remediation strategy, balancing debt paydown against feature delivery.
• Led code reviews and technical standards across the team, fostering a mentor-first environment with two-way feedback dialogue — pairing on complex pipeline work and unblocking junior engineers on async architecture patterns.
• Re-architected the AI companion's core processing pipeline from synchronous to asynchronous with a queue-based worker architecture, enabling horizontal scalability and cutting upload processing time ~4x (from ~22s to 5–10s) while improving response accuracy.
• Designed an AI-driven document intelligence workflow with automatic multi-document classification, per-document summarization, and relevance guardrails for the patient care journey.
• Built a unified patient memory system (short- and long-term context) bridging the document vault and chatbot into a single bidirectional, context-aware platform.

• Building an AI-native coaching platform for cyclists: a conversational Dynamic Coach that turns training and recovery data into the next session decision, available daily instead of a static calendar.

• Designed and shipped a full-stack, chat-first coaching experience on Next.js and the Vercel Edge Network, with agentic workflows that adapt plans in real time to readiness, load, and life constraints.

• Built integrations with Garmin, Strava, Whoop, and intervals.icu so sleep, HRV, and ride data feed coaching recommendations without manual data entry.

• Product thesis: make high-quality coaching principles accessible at scale by combining adaptive training logic with plain-language conversation, not another metrics dashboard.

• Savills is one of the world's leading property advisors with 700+ offices worldwide. In Berlin, I built core digital solutions for the valuation business, replacing legacy Access-based workflows with an enterprise-grade web app built on Vue.js.
• Frontend Architecture & Scalability: Designed scalable Vue + TypeScript frontend architecture for internal enterprise applications, integrating a Symfony backend and interactive maps.
• Legacy Modernization: Led the modernization of legacy jQuery-based systems into maintainable Vue-driven applications, improving performance, maintainability, and efficiency across business workflows.
• PDF Report Workflow Automation: Engineered Twig-based automated PDF generation pipelines that reduced manual report preparation time by ~80%, saving approximately 12h per analyst/month.
• Design System & Frontend: Built a scalable SASS-based design system using mixins, maps, functions, and reusable UI patterns for consistency and long-term maintainability.

• Moss is a spend-management platform for SMEs that bundles corporate cards, web-based applications and reimbursements, AP/procurement and advanced accounting in one place.
• Splits time across Accounting, Spending and Growth tribes, handling requirements gathering, public product design, coding, testing, debugging and internal apps.
• Participates in development and maintenance of the design system/UI kit and supports tooling, documentation and developer experience.
• Builds form-heavy UIs, drawer-based editing, high-density/resilient tables with server-side filters, pagination, column configurations, CSV/Excel export and bulk operations, all wired for permissions and auditability.
• Works with complex cross-entity relationships without a single-schema solution.
• Uses React, Redux Toolkit, styled-components, react-hook-form, React PDF, Vite, Lokalise, React Testing Library and Playwright.

Self-initiated, solo project, in active development

• Full-stack TypeScript app (Nuxt 4, Vue 3, Nitro, Drizzle ORM, PostgreSQL) for running tabletop RPG campaigns, built around a system-agnostic core designed to extend from Pathfinder 2e to other systems without rewrites.
• Deliberate content-ownership model: Live References vs. Owned Content, with publishing modeled as an immutable snapshot rather than a flag, designed for forward compatibility from day one. Namespaced, frozen slugs for collision-safe URLs.
• Data ingestion pipeline importing curated Foundry VTT data into a normalized schema, with version-checking. Library currently holds 1,209 creatures and 1,796 spells (PF2e Remastered content); licensing confirmed clear under ORC/OGL for statblock display.
• Strict TDD workflow (red-green-refactor, vertical slices; Vitest, Playwright, PGlite for fast in-memory DB-integration tests), Architecture Decision Records, a maintained domain glossary.
• Standalone, account-free public tools (Creature Database, Spell Database, Encounter Builder) built to launch ahead of the full campaign/adventure product, as a lower-friction wedge to get real usage sooner. Self-hosted on a Hosteurope VPS.

Stack: Nuxt 4, Vue 3, Nitro, Drizzle ORM, PostgreSQL, Vitest, Playwright, PGlite

• Bedrock technology operations role providing the foundations on which PUMA's global product teams build PUMA.com and associated systems
• Managed a €3.5 million CAPEX portfolio including ~20 externals and 16 platform and tooling vendors
• Started up and led five functional teams for platform engineering, cloud administration, edge technology, continuous performance testing, and L2 support / incident management
• Person of last resort for mysteries, intractable bugs, compliance crises, litigation support, and black-hole issues where ownership was unclear or contested
• Sole author and driver of a multi-million-euro, multi-year RFP for Global Operations Center serving the direct-to-consumer technology estate for eCommerce, order management, and brick-and-mortar retail tech support
• Conceived, designed, developed and productionized Order Viewer, a secure internal application providing observability into PUMA.com order data at sub-second latency; independently delivered architecture, implementation, GCP deployment, SSO integration and organizational compliance.

Led product strategy, cross-functional delivery, and the evolution of the platform and operating model at a VC-backed B2B SaaS company (~60 FTE at peak) operating a multi-sided enforcement platform — connecting brand owners, marketplace operators, and enforcement workflows — scaling from founding-stage concept to commercially validated product.

PRODUCT STRATEGY & BUSINESS IMPACT

• Defined and iterated product strategy aligned to ICP refinement, competitive positioning, and long-term revenue growth
• Refined segment focus to concentrate capacity on highest-value enforcement use cases, improving customer retention and average contract value
• Redesigned pricing and packaging after identifying that a modular, feature-based model was enabling customer cherry-picking and creating confusion at the point of sale. Collapsed a multi-page pricing structure into a single-page, outcome-based model — anchored on what the customer actually wanted to protect, not which modules they selected. Contributed directly to a 10× ACV increase on a key account (€500 → €5,000/month)
• Replaced ad-hoc stakeholder-driven prioritisation with a structured decision framework — coupling OKR alignment, ICE scoring, and a fixed roadmap split (50% strategic initiatives / 30% customer feedback / 20% tech debt) — ending a pattern where sales requests and leadership interventions routinely displaced planned work mid-quarter
• Redesigned the customer onboarding process after identifying a recurring failure pattern: misaligned sales commitments, missing customer-side inputs, and siloed handoffs between sales, CS, and product were routinely delaying time-to-value. Introduced structured pre-onboarding requirements and cross-functional handoff protocols — ensuring customers arrived with the data needed to go live, and internal teams operated from a shared baseline

LEADERSHIP, DELIVERY & OPERATING MODEL

• Built and led a 20-person cross-functional organisation spanning product management, engineering, design, and operations
• Introduced OKR-driven planning and quarterly review cadences, providing consistent strategic alignment across functions and seniority levels
• Built decision-routing frameworks that pushed operational and product decisions down to team level — replacing a pattern where analysts and PMs escalated routine calls (e.g. enforcement actions, edge-case handling) to leadership by default. Defined clear ownership boundaries and decision criteria so the team could act independently on the vast majority of cases, freeing leadership capacity for genuinely non-standard situations

AI-ENABLED PRODUCT & WORKFLOW TRANSFORMATION

• Led the development of an AI-enabled website detection system that replaced much of a previously manual review process, reducing analyst workload by 70–90%
• Redesigned key operational workflows to incorporate AI-enabled classification and decision routing, increasing detection throughput 20× without linear cost growth
• Defined AI product KPIs covering coverage, accuracy, and false positive rate — embedding measurable quality standards into the development cycle
• Defined where automation should replace, support, or escalate human decisions, balancing scale, quality, and customer-facing risk

• Led the end-to-end architecture and migration of a legacy on- premise IoT monitoring system to a cloud-native Azure platform within a 17-member development team
• Designed and implemented a scalable microservices architecture (Java 21, Spring Boot, Kubernetes, Azure Services), decoupling IoT data streams and eliminating legacy system bottlenecks
• Defined technology stack, mentored developers, and orchestrated cross-functional teams in 4 countries to ensure high-quality delivery and alignment with architectural standards
• Drove requirements engineering and system redesign, removing years of technical debt and introducing event-driven processing and automated workflows
• Key Achievements
• Increased system stability and uptime by ~10x, eliminating need for 24/7 DevOps intervention
• Reduced hosting costs by ~80% (5x savings) through cloud optimization
• Improved performance and scalability, enabling stable handling of high-volume IoT data streams
• Delivered successful zero-disruption migration from on-prem to cloud, with strong user satisfaction and reliability from day one