CSS Experts in Switzerland

• Since August 2025 I'm working on the Conversational AI team. We are developing an internal platform for the future of Conversational Ecommerce, powering other teams to use the Agents in their user experience. I'm deeply focused on the architecture of this project, with a particular focus on the monitoring and live evaluation of the agents.
• Played a pivotal role in business-critical operations, including Adyen client upgrades, multi-account configuration for app releases, domain migration support, and implementing a crucial BFCM hotfix to resolve a 10-minute update query (on the checkout workflow) that was blocking sales.
• Served as a key member of the On-Call rotation for over a year, leading >15 incidents, contributing to system stability, and enhancing distributed tracing via New Relic integration, deepening system-wide understanding and operational excellence.
• Conceived and delivered an MVP for a "Low Stock in Key Variants" (LSKV) index within two weeks as part of the Conversion Rate Taskforce, using statistical analysis of size curves to identify OOS products; this initiative led to a (0.9%) CVR improvement post-handover.
• Led major performance and stability initiatives, including a Ruby upgrade (YJIT, Jmalloc) that slashed average response times from 220ms to <100ms, and initiated an "Order Table Cleanup" project to manage 10M+ order records, ensuring SOX compliance and database health.
• Architected and delivered a scalable CloudFlare Worker solution for critical Apple Pay domain validation, mitigating operational risks and establishing a best-practice, automated workflow that was subsequently leveraged by multiple teams, demonstrating cross-functional impact
• Drove substantial evolution of the core e-commerce backend through consistent, high-impact contributions (130+ merged PRs), spanning critical feature delivery, complex system optimizations, and enhancing platform stability."

• 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

• Academic research, critical analysis and information synthesis
• University teaching and content evaluation
• Source verification and archival research
• Scholarly writing, editing and structured feedback
• Evaluation of complex written and audiovisual material
• Research project development and coordination

• 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

• Support with the introduction and implementation of the Qualtrics XM platform in the consulting and service environment for customers, e.g. in the banking sector, focusing on data quality, parameterization, technical coordination, and implementation support

• Technical validation of configurations, feedback flows, and reporting setups

• Review and assurance of data quality (mapping, mandatory fields, regulatory-relevant fields)

• Performance of UAT, functional tests, and data checks in collaboration with the department and IT

• Coordination with stakeholders from consulting, service, compliance, IT, and product management

• Clarification of technical requirements with the business side and derivation of adaptation requirements in the platform

• Creation of documentation, test protocols, and quality-related artifacts

• Support in the preparation of internal approvals and rollouts

• Successful technical acceptance of the new feedback and reporting functionalities

• Increase in data quality in the relevant fields (e.g., feedback classification, assignment to the consulting process)

• Stable implementation of the platform in the consulting environment with clear handover to IT and specialist departments

• Architected and implemented a Data Value Framework as a decision-making basis for strategic prioritization and determining data-driven value contributions along the corporate value chain, connecting data value with business objectives.
• Designed standardized use cases to assess the maturity levels for quantifying business value and data value.
• Integrated the framework within SAFe structures in Lean Portfolio Management and ARTs to guide strategic investment decisions.
• Developed metrics and evaluation procedures for prioritizing business areas based on quantitative data.
• Redesigned data governance, including the introduction of the data owner role with clearly defined responsibilities and differentiation from the data steward role.
• Derived MVP priorities using gap analyses across key areas and value stream analysis.

• Led the founding of a startup for AI-based consulting products for dental practices.
• Developed and launched PraxisScore, a data-driven consulting product for economic analysis and corporate consulting of dental practices.
• Held full responsibility for technical implementation, AI integration, and structured startup setup from product idea to public launch at IDS 2025 in under three months.

• 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.

• PoC for various platform integration functionalities using Backstage and Crossplane
• Implementation of improvements of developer experience with Azure AVD and DevSpace
• Manage application deployment infrastructure on Kubernetes clusters
• Manage CI/CD platform
• Manage deployments into Kubernetes (Rancher and AKS) and into Azure
• Act as security champion of the DevOps team
• Manage vulnerabilities and support dev teams to manage third-party vulnerabilities using JFrog Xray
• Support building the platform team
• Manage infrastructure as code using Terraform and Atlantis
• Build and integrate a platform and IDP using Crossplane

• Analysis, consulting, and development of a WordPress application for the digital processing and delivery of the Bauma chronicle archive

• Greenfield project M-Zollmanager: Development of an internal platform to support users in booking requirement areas on line items in assessment notices.
• Greenfield project M-Deliveryplan: Development of an internal platform for planning and tracking deliveries in the international transport sector.
• Created functions to predict the estimated arrival time of container ships and goods from the port of loading to the port of destination, considering potential events.
• Developed the TrackAndTrace add-on for M-Deliveryplan to track and plan goods and containers.
• Built a generic AI chatbot for Migros app infrastructure, including ChatGPT integration and creating AI workflows with N8N.
• Developed AI assistants to automate repetitive tasks, such as creating release notes or processing Jira tasks based on N8N workflows.
• Further development and maintenance of the M-LFS, M-Vehicleaccess and M-Worklog apps.
• Used C#, Angular 18, DevOps practices, N8N, Kubernetes, Docker, Jira, Confluence and Azure.
• Ongoing project with continuous development of platforms and workflows.

• Business analysis, architecture, and implementation of a telemedicine platform for pet owners.
• Leading the development team as Product Owner and Tech Lead.
• Introducing agile processes, setting up development guidelines and system documentation.
• Planning and implementing features like video calls, live chat, and marketing automation.
• Implementing AI-based features such as automated tagging of information (missing pet reports, marketplace entries, etc.), preparation of social media content, and processing of conversation transcripts.
• Skills: Angular, NGXS, Tailwind, Java, Spring Boot, Kubernetes, Docker, CI/CD, MySQL, LLMs, RAG, MCP, Redis, OpenSearch.
• Industry: Veterinary medicine.

• Implementations of a code refactoring framework able to refactor thousands of repositories leveraging Generative AI
• Use Python (Django, Flask, FastAPI), Java and Typescript in Azure Cloud (Data Lake, VMs, AI) and GitLab infrastructure
• Mentoring and pair programming
• Obtained Azure AI-900 and AI-102 certifications