GitHub 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

• 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

• 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

• Test strategy design
• Continuous defect tracking and documentation
• Test case creation and execution for performance and end-to-end tests as well as mass tests
• Responsibility for all test activities in the team
• Requirements and documentation analysis
• Agile testing based on stories, epics and features
• Test management and coordination
• Use of SAFe (PI planning, PI preparation, sprints, daily meetings, Kanban board, retrospective, review)
• Use of GitHub, Tortoise, Atlassian JIRA, Confluence, MS Teams, Splunk, Swagger UI, Tosca, Rocket.Chat, Visual Studio Code, Oracle SQL Developer
• SAFe framework and project abroad

• Building productivity solutions for backoffice functions including case management and automated workflows in insurance
• Integration of GenAI functionality in operational processes for efficiency based on measurable KPIs
• Successfully delivering integration and data projects with agile methodology in requirements engineering, cloud native development and computing, software development, data analytics, quality management and technical documentation
• Coaching and advising clients for adoption of technologies such as use case identification, organizational impact assessment and building a business case for investments
• Advising clients on cost optimization through IT carve out and outsourcing of software product engineering
• Technologies: Jira, Confluence, ServiceNow, GitHub Co-Pilot, Agile/SAFe

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

• 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 the team in merging two real estate platforms into a unified Vue.js-based solution
• Developed a custom SSR microservice architecture deployed on AWS Lambdas
• Designed and implemented a map drawing feature
• Took ownership of migrating the microservice from Vue 2 to Vue 3
• Built a scalable SSR microservice architecture using AWS Lambda
• Developed and implemented a critical map drawing feature for real estate visualization
• Successfully migrated the microservice from Vue 2 to Vue 3
• Gained deep knowledge of AWS infrastructure, Datadog, Sentry, and Vite
• Technologies: Vue.js, Node.js, Vite, AWS Lambda, Datadog, Sentry, JavaScript

• Set up a shift-left DevOps E2E system testing architecture
• Set up "DevOps Shift-left" E2E tests for 240+ applications
• Under NDA

• Many years of experience in application development, ICT infrastructures, systems management, hardware and software, telecommunications, ICT strategies, business models, database management, data center consolidations, support and call center setup

• Since 1999 independent consultant and project manager: ICT strategies and governance, processes, audits, security, infrastructure (including cloud, DevOps and tools), data and output management, organizational restructurings, business project management and consulting in various industries

• Generalist with analytical skills, strong communicator at all hierarchy levels, deployable as manager, coach, project manager or consultant

• Set up a partnership to support UiPath from migrating new clients to the UiPath tool landscape
• RPA testing

• The comdirect app for iOS offers an intuitive and user-friendly mobile banking app that allows users to manage their banking efficiently and securely.
• Central features: bank transfers, portfolio analysis, personalized financial manager to facilitate daily banking and financial planning.
• Users: over 1 million.
• Written in native Swift using UIKit and SwiftUI.
• App-wide MVVM and Coordinator design pattern.
• Partial reactive programming using Apple’s Combine framework or vendor RxSwift.
• API integrations and data structures with JSON.
• Documented clean code.
• Continuous integration with Git and Jenkins.
• High unit test coverage with XCTest.
• Agile project setup according to Scrum.

• 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