CI/CD Experts in Switzerland

• Built and explored applied GenAI, RAG, GraphRAG, local LLM, agentic AI and document-intelligence prototypes for structured analysis, evidence extraction, semantic search, technical reasoning and decision-useful reporting
• Developed private local-LLM workflows and AI system patterns focused on privacy, reproducibility, reviewability, low-cost inference and practical user control
• Built reproducible Python/R workflows for data analysis, automation, API-driven tooling, validation logic, technical documentation and AI-assisted software development
• Designed workflows around explicit assumptions, traceable inputs, reviewable outputs and failure-mode awareness rather than black-box “looks good” demonstrations
• Supported RAHN AG in a chemical/regulatory environment with data extraction and processing around WERCS, a regulatory application for chemical product and compliance data
• Explored complex application/database schemas and wrote nested SQL queries to extract information for mixture calculations, component relationships, regulatory rules and reporting logic
• Continued hands-on development in Git/GitHub/GitLab/Bitbucket, Docker/Linux deployment patterns, REST/API workflows, error handling, technical writing and fast AI-assisted prototyping
• Built technical writing and documentation workflows that turn complex systems into clear runbooks, checklists, decision notes and user-facing explanations

• Designed and engineered a shared web component library for a customer portal serving 360,000+ private users and integrated the LWC framework with Storybook via Rollup.
• Resolved WCAG AA compliance issues to support strict accessibility requirements.
• Integrated legacy systems into a new portal via REST API to support existing products.

• 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.

Responsibility for the design, migration, and integration of a security- and audit-critical HashiCorp Vault platform in the trust center of a nationwide authority with system-critical importance.

• Analysis and realignment of the existing HashiCorp Vault landscape, including production and planned use cases

• Design, proof-of-concept, migration, and integration of HashiCorp Vault Enterprise, taking into account the authority's PKI and operational processes

• Design and implementation of an automated certificate and secrets management system for 300 Kubernetes clusters and several thousand certificates in the trust center

• Securing the Vault platform using hardware security modules (HSM)

The solution enables a highly available, audit-compliant, and automated operation of certificate and secrets use cases in a highly regulated environment.

Technologies used: HashiCorp Vault Enterprise, Terraform, Ansible, OpenSSL, PKI, HSM

• 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

• Highest level achieved: Certified Mid-Level Angular Developer
• 13 technologies newly learned or refreshed with (re-)certifications
• Current: Docker, Azure, Quarkus

• Support and further development of the Leegoo Builder
• Handling ad hoc requests
• Definition of rules/attributes and their rules
• Optimizing and managing SQL queries

• 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

• 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.

• Supported design, setup, maintenance and enhancement of IBM Rational DOORS (9.6 and DNG) and IBM Rational Publishing Engine
• Conceived IT solutions and implemented them, including acceptance tests, considering customer-specific requirements
• Ensured functionality of tools and systems in scope
• Identified needs and advised departments and projects, designed single solutions when necessary
• Monitored and maintained central requirements engineering systems (servers, software, subcomponents)
• Advised on tool selection, features and application use cases for engineering applications
• Handled support requests from employees, customers and development teams autonomously
• Created system documentation and user guides
• Participated in cross-departmental IT projects and led subprojects

• Designed and executed automated and manual test cases for REST APIs and UI workflows using Selenide, Selenium, and Postman.
• Developed and maintained Gatling-based performance tests for simulating user load and validating system responsiveness and stability under stress.
• Integrated test suites into CI/CD pipelines with Jenkins, enabling rapid and reliable delivery cycles.
• Employed Splunk, Grafana, and Prometheus to monitor logs, track metrics, and perform in-depth application performance monitoring (APM).
• Utilized Swagger for validating and documenting API contracts and ensuring consistency across environments.
• Created and managed isolated test environments using Docker, enabling reproducible and consistent test execution.
• Collaborated with cross-functional teams using Confluence, Jira, and Bitbucket for agile planning, documentation, and version control.
• Worked in a Java/Spring Boot tech stack, leveraging Maven for project build automation and IntelliJ IDEA for development and debugging.

Key Achievements:

• Built a reusable Selenide-based UI automation framework that reduced test creation time by over 50%.
• Automated end-to-end test scenarios for critical business workflows, increasing test coverage and release confidence.
• Designed a modular Gatling load testing framework, used for continuous performance benchmarking.
• Detected and resolved several critical production performance issues through proactive APM and stress testing.