GitHub Experts in Zurich

• Developed Power BI semantic models and DAX measures, reducing financial reporting time.
• Implemented RLS, strengthening role-based data access and governance controls.
• Delivered automated KPI dashboards, accelerating reporting and decision-making.
• Designed a Fabric Lakehouse with Bronze, Silver and Gold layers, improving data processing.
• Built Fabric pipelines and PySpark transformations, reducing processing time by 40%.
• Built and optimized Power BI semantic models, improving report performance, scalability and usability.
• Optimized UNIX universes, reducing query execution time by 40%.

Environment: Power BI (Semantic Models, DAX, RLS), Microsoft Fabric (Lakehouse, Pipelines, PySpark), SAP BO 4.3/2025, Web Intelligence, IDT/UNX, InfoBurst, 360Suite, GitHub, JIRA.

• 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

• Definition of a product concept and end to end solution delivery (turnkey) for a Digital Efficiency Hub for Railway Maintenance based on 5G campus networks. Integration of various hardware and software systems in a comprehensive delivery with success metrics. Laise the concept and process across the enterprise. Compliant process definition and financial management with commercial model.

Technologies: 5G, RAN, SAP, Cloud, Enterprise Architect, Autonomous Robots, ITIL, CoBIT, TBM, BSI, ISO 27001

• 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

• 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

• 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

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

• 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

• Coordination and implementation of setting up and further development of applications in close collaboration with external service providers as the internal technical contact person
• Ensuring stable, proper operation and maintenance of business-critical applications to support central business processes
• Analysis, handling, and sustainable resolution of application issues (incidents, problems) including workarounds in 2nd and 3rd level support
• Planning, coordination, and implementation of changes in ongoing application operations according to ITIL processes
• Participation in project teams for maintenance, further development, and integration of interfaces between different applications
• Support in creating, maintaining, and executing test cases as well as assisting with system, integration, and acceptance tests
• Operation, deployment, and maintenance of containerized applications using Docker
• Installation, configuration, integration, and testing of server and application software in virtualized and cloud environments (VMware, AWS)
• Operation and maintenance of virtualized application platforms (Windows Server/Client, VMware, AWS Cloud)
• User, role, and permission management in complex enterprise environments
• Creation and maintenance of technical documentation (operations concepts, changes, projects, interfaces)
• Close collaboration with internal departments, project management, and external partners and suppliers