Node.js Experts in Switzerland

• Created the MetX Assistant and was its primary driver from concept through production with real users; designed and oversaw telemetry and presented the system in demos.
• Built React, TypeScript and Python features for MetX, a scientific weather visualization platform; integrated internal data APIs and improved caching, request handling and rendering workflows.
• Contributed to company MCP tooling and led AI workshops and internal automation initiatives, including experiments connecting AI agents with Slack, Jira and Git.
• Acted as the team's Observability and DevOps subject matter expert, supporting service reliability, deployment workflows, monitoring and troubleshooting.
• Participated in Security, Observability and AI Communities of Practice.

• 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.

• Intelligent Document Processing Engine with OCR & Computer Vision: Architected the end-to-end AI pipeline at the core of the SQPS GenAI document-processing product, which turns scanned paper and PDF batches into organised, searchable documents, combining image pre-processing, OCR and layout analysis for mixed-quality scans. Technologies: Python, OpenCV, Tesseract / PaddleOCR, PyTorch, FastAPI
• Automatic Document Splitting & Classification: Developed models that detect where one document ends and the next begins inside a single multi-document scan, and classify each one by type (invoices, contracts, letters, reports) to enable fully automated filing. Technologies: Python, PyTorch, scikit-learn, Hugging Face Transformers
• Information Extraction & Intelligent File Naming with LLMs: Implemented an LLM-based GenAI extraction system that reads dates, names and reference numbers from unstructured documents and uses them to generate consistent, rule-based file names, with configurable naming conventions per organisation. Technologies: Python, LangChain, OpenAI, SentenceTransformers, SQL

• 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)

Reduced time-to-market by optimizing CI/CD pipelines. Employees without customer VM access can now deploy. Increased system stability and performance and reduced maintenance effort through systematic database cleanup. Restricted rights for Flyway migrations versus service users. Improved transparency and decision-making basis with enhanced Grafana dashboards for response times, optimized logging, and standardization with Loki. Reduced security risks by consistently applying security best practices such as removing the public schema in PostgreSQL, individual service user permissions, and Docker security context. Facilitated knowledge transfer and sustainable process improvements by creating process diagrams and implementing various concepts. Conducted code reviews across multiple repositories.

• 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.

• 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.

• 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

• Designed large-scale systems and APIs serving thousands of concurrent users.
• Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
• Introduced SLO-based observability, improving reliability and recovery flow.
• Optimised cloud and databases, achieving significant cost and latency reduction.
• Delivered LLM, RAG, and document-automation pipelines adopted in production.

• Project management (SAP BN (Ariba) onboarding, support for SAP ECC and SAP TM for supplier topics)
• Standardization of global value creation processes
• Basic training as well as central contact person for suppliers and support for planners

• Developed ERC20 smart contracts with a mechanism for vesting, including deployment, testing, and auditing.
• Wrote a JavaScript application for managing transactions in Bitcoin, Ethereum, and SEPOLIA with a custom token.

• Create requirements for the modularization of the promotion forecast.
• Set up and expand the various competitions for 2024.
• Customize and test the CICS dialog.
• Create various reports for the department using SQL.
• Implement and test new requirements in batch processes with IWS.
• Update documentation for the new requirements.
• Provide on-call support for daily and monthly production.
• Technologies used: SCRUM, Jira, Confluence, Windows 11, Unix, Enterprise Developer, z/OS, GIT, Mineral, Moped, IWS/TWS, JES, COBOL, CICS, DB2, SQL, Rocket, FortiClient, Citrix.