Replit Experts in Germany

Evidence-led health intelligence platform turning published research into personal health protocols. It scores 430 habits, foods, and supplements against the studies behind them, and moves the score when the evidence moves. Built solo.

• Built the daily ingestion pipeline across PubMed, bioRxiv, and medRxiv: 43,000+ papers from 3,400+ journals processed into 230,000+ typed evidence claims, each one traceable back to the study it came from.
• Designed the six-factor evidence scoring model and the public changelog behind it, so no recommendation ever appears without the papers underneath it. 23,000+ grade changes recorded and explained to date.
• Shipped an entity information model connecting every intervention to its mechanisms, biomarkers, and outcomes: 118 biomarkers with region-specific reference ranges, 77 mechanisms, 32 graded outcomes.
• Built the personalisation layer: blood panel ingestion that reads lab PDFs with a vision model and corrects results for draw time against the user's wake anchor, plus Oura, WHOOP, and Withings integration for daily readiness context.
• Operate eleven specialised review agents over the corpus and codebase, covering paper curation, retrieval quality, health-claim compliance across EU and US regimes, and security.
• Shipped the Evidence Assistant, a RAG assistant that answers from the claim database and cites the underlying papers, plus a B2B practitioner tier, an Expo React Native app, and localisation across 3 languages and 7 markets.

Stack: Next.js 16, TypeScript, Supabase, pgvector, Anthropic Claude, Vercel, DeepInfra.

• Spearheaded efforts to enhance product consistency and achieve significantly better usability, ensuring a more intuitive experience
• Partnered with the founders to define a new go-to-market strategy through product discovery
• Directed the process of creating a new company website from concept and wireframes to design and final implementation in Webflow
• Responsive Webdesign
• WCAG
• Corporate Branding
• Product Discovery
• MVP
• Product Design
• User Experience
• Rapid Prototyping

• Hybrid/Remote
• Digitalisation introduction and optimisation of software
• Advice on the introduction of AI
• Data & AI strategy
• Interim / tech consultant
• Product, process & management
• Vendor management
• Compliance management platforms (ISO 27001, GDPR, EU AI Act)
• M&A due diligence & analysis

Anchored design as a discipline in an industrial company: rebuilt the team structure, introduced infrastructure, built a UX reputation - under capacity pressure and while operations were running.

• Led 7 designers in 3 teams; restructured into a hybrid setup with a central design pool
• Introduced a design system, UX debt backlog, research repository, user feedback formats, and first product metrics
• Built a career model, developed the team individually, and supported each person
• AI enablement: weekly show-and-tell formats on prototyping, research, and handoff

• Led 5+ CEO-facing workstreams across GTM, partnerships, fundraising, Uzbekistan expansion, marketing delivery, and backbone planning; turned priorities into action plans (owners, timelines, reporting).
• Ran weekly exec reporting: status, risks, decisions needed, and next steps across workstreams.
• Led cross-functional teams of 4-8 (design, marketing, project contributors) to deliver investor- and partner-ready materials on accelerated timelines.
• Helped secure a government-level MoU in Uzbekistan through stakeholder relationship building and negotiating a mutually beneficial project plan.
• Supported fundraising towards a €10M+ target: maintained model assumptions, prepared pitch/diligence materials, and supported investor Q&A (10 qualified investor meetings).
• Represented company in high-stakes external meetings with government officials, institutional partners, and strategic stakeholders.
• Managed external vendors (design/marketing) with €75k+ spend; tracked deadlines, flagged risks early, and fixed issues to keep delivery on track.

• Overall responsibility for software, connectivity and services within the smart-metering organization
• Product leadership for 3 team leads and indirect responsibility for 20 product managers
• Strategic development, organization and scaling of the software and service business
• Managed realignment of software development including governance, prioritization and delivery model
• Achieved over 200% increase in service revenue and 80% reduction in open initiatives through a scalable delivery framework
• Initiated company-wide digital transformation and provided top-management strategic advisory on software, platform and service strategy
• Technologies & methods: Digital Transformation, Business Transformation, Cost Optimization, Scaled Agile, IoT, SaaS, Azure, ITIL

• Leading the product lifecycle for sovereign AI platform and operating system teams for enterprise & government clients and internal stakeholders (infra, solution delivery, support, revenue)
• Built and scaled the platform from a 200-user beta to a full rollout of 70K+ members at the Bundesagentur für Arbeit (BA), secured with ISO 42001 and EU AI Act compliance
• Architected the shift to a multi-tenant shared inference, increasing GPU cluster utilization from 20% to 85% and reducing infrastructure cost-to-serve by 40% for SaaS clients
• Shipped model quantization, allowing clients to run advanced LLMs on legacy hardware (A100s GPUs) instead of the H100s, saving upwards of 70% cost per enquiry
• Abstracted complex Helm configurations into a dynamic model manager, reducing the time to install or swap models by ~80%
• Killed an expensive move to build own dashboard service, pivoting to an API-first data strategy that clients can consume directly and saving €100Ks in opex and capex
• Built a safety-first agent marketplace and control plane lighthouse project for a Tier-1 bank, allowing internal teams to deploy autonomous agents within strict regulatory guardrails

• Further development of the internal "ECockpit" platform with an Angular 17 frontend and .NET (C#) backend
• Maintenance and further development of Azure DevOps pipelines
• Introduction of technical improvements in build & release processes
• Collaboration on a modular architecture approach (Clean Architecture & DDD)
• Focus on scalability and secure data processing
• Tech stack: Angular 17, .NET / C#, Azure, Azure DevOps, Git, CI/CD, Clean Architecture, Domain Driven Design

• Own product scoping and technical solution design.
• Build and maintain web applications using Bubble and Replit.
• Architect and integrate third-party APIs and data flows.
• Deliver technical estimates and manage releases end-to-end.
• Lead client workshops, translating business needs into system logic.

• Translated client briefings into structured implementation roadmaps for a new digital platform, coordinating UX, development, and QA teams across three time zones.
• Established iterative reviews and feedback loops to ensure usability and creative vision aligned with technical feasibility.
• Result: Developed a platform that strengthened customer engagement and positioned the company for future funding rounds.

• Establishing Unique Moments Ltd. as a scalable SaaS platform for comprehensive fan engagement
• Developing and launching a 360° ecosystem from ticketing to social media integration
• International scaling of platform architecture for clubs, cities, and brands
• Designing and technically implementing AI features for data analysis and content personalization
• Developing a cloud-based dashboard for real-time analysis of fan behavior and event data
• Building a modular AI architecture for dynamic analysis and segmentation of fan profiles in real time
• Developing and integrating AI-based recommendation engines for personalized event suggestions, dynamic pricing and upselling, and social media content optimization through NLP
• Using machine learning for behavior prediction based on CRM and ticket data
• Developing a proprietary AI analytics dashboard for sponsors to measure success based on KPIs (engagement, reach, conversion)
• Designing interactive AI modules ("Smart Interactions") for live events and digital platforms
• Using generative AI for automated fan communication and content creation (chatbots, text AI, graphic templates)
• Building and leading an interdisciplinary team (8 people) from tech, marketing, and sales
• Agile management of complex projects and MVP launches with high market speed
• Introducing a scalable partner and support system for customers and sponsors
• Strategic collaboration with top brands like Pernod Ricard, LVMH, and FSV Mainz 05
• Implementing innovative event formats like the "Smallest Disco in the World" with strong digital reach
• Developing new sponsorship models based on AI-supported user data analyses

• Service and UX design
• Strategic design
• Educational instructor with focus on design
• User research/testing
• Prototyping
• Sustainability and "Design for Good" workshop design and facilitation (adults and children)
• Visualization and illustration
• Education for sustainable development and global learning

• 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

• Designed, implemented, and evaluated multiple machine learning models (e.g., regression, time series, neural networks) to forecast cryptocurrency prices, incorporating data preprocessing, feature engineering, and model optimization for improved predictive accuracy.
• Performed in-depth data exploration and visualization on large cryptocurrency datasets, using tools like Python and libraries such as Pandas and Matplotlib to identify trends and patterns.