Playwright Experts in Switzerland

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.

• Interface role with the SOC team; improved incident response time by 45% through structured escalation processes and proactive security monitoring.
• Defined technical standards for a multi-tenant enterprise platform (10+ services), resulting in a 30% shorter onboarding time for new clients in the public sector.
• Active knowledge transfer and mentoring of a 6-person team; increased team autonomy and established a sustainable engineering culture.
• Reduced time to market by 50% by optimizing CI/CD pipelines and establishing self-service deployments.
• Stack: GitLab CI/CD, Kubernetes, Nexus, Harbor, ArgoCD, HashiCorp Vault, Grafana, Python, PostgreSQL, Java, Spring Boot, Flyway, Quarkus, JBoss, Loki, Go, Kafka, Kustomize, MongoDB

• Build prototypes, expand AI skills, and practical application in a startup context.
• Transition phase: further training in prompt engineering, APIs, AI, working on independent prototype projects, and collaborating at a friend's startup.
• Technologies: LangChain, REST, Python, Java, JS, TS, Node.

• Building a framework for automated website testing
• Testing, regression testing
• Defect management
• Release management, UAT, agile testing
• Feature discussions with business
• Test management

• Setup of a comprehensive Shift Left DevOps architecture for end-to-end (E2E) system tests of 240+ applications
• Implementation of the Shift Left strategy for DevOps in the area of E2E system tests to ensure software quality at an early stage
• Development and maintenance of complex telematics solutions for real-time collection and analysis of vehicle data to systematically optimize fleet availability
• Focus on reverse engineering of existing systems, development of scalable dashboards, and integration and analysis of communication protocols (e.g. CAN, MQTT, REST)
• Design and operation of automated test systems, coordination of suppliers, and technical implementation based on functional and non-functional requirements at the interface between embedded development, data analysis, and system integration