Claude Experts in Switzerland

• UX research, UX concept development, and UX design for an AI dialogue system with information on events, locations, public transport timetables, and special trips. Observations, remote user tests, session recordings, analytics evaluations, RapidUserTests, prototyping, etc., using Figma/Figma Make, Claude Design, and OpenAI Codex (Design)

AI platforms

• Contributing to the training of all top 5 US large language models through multilingual ML projects, spanning RLHF, evaluations, rubrics, conversations and safety initiatives
• Working across a diverse range of training methodologies, supporting model alignment and quality improvement in multiple languages

Founded and scaled Merkle's CDP community, and built the foundation of a Centre of Excellence

• Cultivated strong connections with C-levels of the company, securing their support and ensuring the community's efforts align with organizational goals (and vice versa when needed)
• Nurtured vendor relationships ensuring top support to the teams and recognition for opportunities
• Drove community growth (+100 members), cross-country collaboration, enablement, best practices, and knowledge sharing across 7+ countries, positioning Merkle as leader in CDP implementations.

• Built an AI operating model in which specialized agents work with clear roles, precise briefings, review standards and governance boundaries; decision-making responsibility remains with humans.
• AI Transformation Lab as a real-world validation environment for agentic workflows, local/cloud AI models, automation and human-in-the-loop governance (details above).
• Applied transformation principles to AI: ownership, risk control, stakeholder alignment, quality review, traceability, delivery discipline; DEV/TEST/PROD mindset.

Led implementation of an Azure cloud-based, event-driven enterprise integration platform connecting Salesforce, Momentus(event) and ERP applications. Reduced overall costs by 60%, lowered operational errors to under 1%, and delivered on time.

• Led the full project lifecycle from initiation to delivery using agile and hybrid methods - platform vision, feasibility, technical blueprint, architecture, implementation, integration, testing, rollout and business adoption.
• Built the engineering team from the ground up, leading teams across Switzerland, Bulgaria and India using Scrum and Kanban; established Jira, Confluence, Asana and SharePoint for delivery and reporting.
• Established and managed frequent steering meetings, reporting that gave stakeholders transparency and drove key decision-making.

ODCUS makes sure AI works alongside people in the day-to-day operations of Swiss SMEs while keeping their data secure: vendor-independent, pragmatic and without hidden agendas. We make a company's knowledge useful to AI, automate workflows and protect what matters.

I transform IT from a cost factor into a competitive advantage. As the founder of ODCUS, I advise Swiss SMEs and mid-sized companies—independently, with a focus on results and without hidden agendas.

What drives me: Too many companies invest in technology without knowing its business value. That is where we come in: we always advise on IT in the context of the business and its success.

My focus areas:

• Cybersecurity – Pragmatic protection that fits the business
• Compliance – NIS2, ISO 27001, EU AI Act without excessive bureaucracy
• IT costs – Create transparency, eliminate waste
• AI – From pilot project to measurable value creation

• Led architecture and end-to-end engineering delivery for community-driven SaaS platforms serving 2M+ monthly active users.
• Architected and led the migration of a monolithic Python/FastAPI and PostgreSQL database and LangChain with codebase to an event-driven microservices architecture on AWS EKS, sustaining 10x traffic growth from ~150 RPS to 1,500+ RPS with zero re-architecture cycles.
• Defined and enforced engineering standards across services including API contracts, observability baselines, and deployment topology, reducing production incidents by 55% and MTTR from 2 hours to under 25 minutes within 9 months.
• Redesigned the caching and query layer using multi-tier Redis caching and database indexing/partitioning, cutting p95 API latency from 850ms to 180ms (78% reduction) and database CPU load by 45%.
• Built CI/CD platform on GitHub Actions, Terraform, and Kubernetes (EKS) with blue-green and canary rollouts, increasing deployment frequency from ~2/month to 8-12/day and reducing lead time from 10 days to under 6 hours.
• Implemented contract testing, automated load testing, and observability SLOs using Prometheus, Grafana, and OpenTelemetry, raising platform availability from 99.5% to 99.95% (10x reduction in error budget burn).
• Led and grew a cross-functional team of 8 engineers across backend, frontend, and DevOps, scaling headcount from 4 to 8 with 85% retention; owned hiring, onboarding, performance reviews, and career development.
• Partnered with Product, Design, and Client Success leadership as primary technical decision-maker; translated business goals into technical roadmaps and drove build-vs-buy decisions on authentication, search, and AI tooling.
• Introduced AI-assisted development workflows including automated code review and a RAG-based internal knowledge assistant using Graph (GraphRAG, Neo4J), increasing sprint throughput by 30% across two quarters.
• Owned incident command and production support rotation; established runbooks, postmortem culture, and on-call SLOs, reducing weekend paging incidents by 70%.
• Developed and optimized Algorithms using python libraries like Numpy and Pandas.

• Product strategy, architecture, and technical co-direction
• AI workshops, client onboarding and go-to-market activities
• Design and implementation of AI architectures (LLMs, RAG, MCP, agents, voice, automation)
• Hands-on development of prototypes and production-ready AI integrations
• Consulting clients on AI adoption, workflows, and integration into existing infrastructure
• Collaboration with co-founders on strategic direction
• Collaboration in sales and customer acquisition

Tools and Technologies: OpenAI, Anthropic, Azure, Vercel AI SDK, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), FastAgent, VAPI, n8n, make.com, LibreChat, PostgreSQL, OpenAPI, Next.js, Vercel, Docker

• Established an independent consulting practice offering transformation, strategy, AI enablement and operational design to organisations across Switzerland and internationally
• Delivering pro-bono and paid engagements with NGOs, foundations, trusts and SMEs across Switzerland
• Service offering spans governance design, digital transformation, AI tools training and data visualisation
• Building a Swiss-based team with a vision to employ internationally experienced consultants

• Autonomously drafted architecture and delivered production code at startup pace
• Wrangled diverse geospatial formats (NETCDF, GeoTIFF, GML) into unified standards and built scalable climate data visualisations from hundreds of GBs of geodata in a production web app
• Mentored developers, facilitated AI skill sharing, and contributed to competitive strategy with C-Level leadership

• Support of strategic clients 7-8 digit revenue (FMCG, textile & household goods) for marketplaces such as Amazon, ebay, Otto Markets, Conrad, Kaufland
• Strategic consulting, expansion workshops & campaign management
• Management of interfaces & listing feed tools: Channable, Perpetua, Magnalister, Marketplace Connect, Mirakl