DevOps Experts in Zurich

• 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

• Main cloud solution architect on a banking SaaS offering hosted in Azure.
• Fully automated the Azure infrastructure in Terraform.
• Reduced cloud costs by 50%.
• Responded to incidents, found root-causes and closed with post-mortems.

• 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

• Clients: Central banks of the most developed economies in the world, German, Swiss, Luxembourgish, Monegasque, Singaporean, Japanese wealth managers and universal/private banks, world’s largest investment banks
• Accountable for managing the delivery of a portfolio of digital wealth and consumer relationship management initiatives
• Project managing portfolios of projects within CTO product and technology business area (cyber security, architectural changes, re-organisational transformation, 3rd party apps)
• Products: Kernel & Parametrisation for Core Avaloq Banking Platform; modules: CRM, client data management, wealth management, portfolio management (generating over 90% of company revenues)
• Key responsibilities:
• Reporting to Head of Disruptive Innovation Division; stakeholder to five product owners & two domain owners
• Accountable for delivery of annual themes and quarterly key deliverables
• Managing demand vs supply via QBR process: book of work, execution, reporting, risk management
• Directly managing around 40 external consultants (front-end/back-end engineers, BAs, designers)
• Hiring and managing resources in eight countries
• Running quarterly divisional closure meetings presenting achievements and challenges
• Resolving cross-team dependencies and internal/external conflicts
• Owning and controlling maintenance budget; planning, forecasting, execution; ensuring demand matches supply
• Identifying and staffing key roles with chapter leads
• Approach: Agile, Scrum of Scrums, QBR/OKRs
• Technology: Angular, PL/SQL, JavaScript, Confluence, JIRA (JQL)

• ZHAW CAS Secure Software Design and Development
• German C1 and Goethe Certificate C1
• ETH CAS Cloud and Mobile Computing at ETH Zurich
• Linux Foundation Linux System Administration LFS307
• Linux Foundation Kubernetes Fundamentals LFS258
• Linux Foundation Kubernetes for Application Developers LFD459
• Linux Foundation Kubernetes Security Fundamentals LFS460

• Solely responsible for two portfolios totaling USD 1 million with an average monthly performance of 2%
• Responsible for the investment strategy, specializing in US equities and ETFs (exchanges: NASDAQ and NYSE)
• Market, trend, data, and technical chart analysis
• Risk management – diversification, daily/weekly risk mitigation measures (rebalancing) to ensure optimal portfolio profitability

• 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.

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

• Mentor female students and professionals in advancing their careers, particularly as aspiring tech entrepreneurs.

• 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.

• 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

• Participating in a strategic enterprise project to introduce a centralized customer data platform ("Single Source of Truth") to eliminate redundant data storage and accelerate digital services

• Analyzing and documenting business and system requirements for migrating large, heterogeneous data sets (ETL) and for continuous data synchronization between core systems and the new platform

• Close collaboration with business units, data engineers and architects to gather and validate requirements, and to ensure data quality, consistency and regulatory compliance

• Defining the migration strategy, specifying ETL processes and synchronization mechanisms, and documenting technical interfaces

• Developing and executing test cases for migration and synchronization processes, and performing defect analysis to ensure data integrity and system stability

• Technologies: SQL, Microsoft SQL Server, Azure DevOps, Confluence, UML, RESTful Services, Swagger, Postman