ViennaFull-Stack EngineeringSoftware ArchitectureApplied AI

Markus Kurzmann

I architect and ship full-stack products with practical AI.

Senior full-stack engineer, software architect, and CTO-level builder in Vienna. I help product teams turn complex web platforms and AI features into production software.

CTO & Co-founderTinni-Care healthcare platform
Frontend LeadApple partner product
IndependentFreelance development since 2018
Public workGitHub and npm package experience
Portrait of Markus Kurzmann

Independent since 2018

Vienna-based, available for selected freelance and contract work.

Discuss a projectCheck fit with AI

Best fit

Architecture + build ownership

For teams that need senior technical direction and hands-on implementation from the same person.

Modern product platforms

React, Next.js, TypeScript, Node.js, product-grade frontend quality, API design, and pragmatic backend delivery.

Applied AI in production

RAG, LLM integrations, AI assistants, vector workflows, and automation where reliability and UX matter.

Best suited for freelance and contract engagements where architecture, product engineering, and AI integration need to move together.

Featured proof

Tinni-Care

Healthcare productCTO & co-founderAI assistant in product

Short screencast: the Tinni-Care website assistant answering a tinnitus question from expert content.

Healthcare platform co-built with an ENT physician. I lead architecture, product engineering, and AI integration as CTO and co-founder.

  • Built a product platform around tinnitus education, patient-facing guidance, and expert-led content
  • Designed the frontend, backend, AI API, content workflows, data flow, and deployment infrastructure
  • Integrated retrieval-based assistant workflows for medical-grade content with product UX and safety constraints in view
Next.jsNode.jsPostgreSQL + pgvectorRAG workflowsLLM assistants
Visit Tinni-Care

Selected experience

Proof that maps to the work clients hire me for.

CTO & Co-founderTinni-Care, a healthcare platform built with an ENT physician
Frontend LeadLed frontend work on an Apple partner product
Independent workFreelance software development since 2018
Applied AI deliveryBuilt AI assistants, RAG interfaces, vector workflows, and modern web platforms
Public engineering workCreated open-source projects and reusable JavaScript packages published for others to inspect and use
TeachingTrainer for web development and technical communication
LinkedInGitHubYouTubeCV

Public engineering work

Packages, demos, and visible shipping history.

Selected public work shows how I build, document, and demonstrate reusable engineering pieces, not just private client systems.

Package demos

Reusable npm packages, shown in motion.

A quick teaser across several public package demos. Useful proof that reusable engineering work is documented, demonstrated, and packaged for other developers.

Watch demoYouTube channel
GitHub activityContribution history visible on GitHub
Open package workReusable JavaScript and React Native packages
Technical demosShort videos that show the actual product behavior
1,817 contributionsGitHub activity preview

What I do

Architecture, delivery, and AI integration without handoff loss.

The strongest fit is work where technical decisions, implementation quality, and product usefulness need to stay close. I am most useful when the project needs both judgment and production code.

01

Architecture that turns into code

System shape, boundaries, data flow, stack decisions, and delivery tradeoffs for products that cannot stay at diagram level.

Useful when you need senior direction and the same person to carry the decisions into implementation.

02

Senior full-stack delivery

React, Next.js, TypeScript, Node.js, API work, deployment, and product UX handled with one accountable technical owner.

Useful when a team needs speed without splitting frontend, backend, and architecture across too many people.

03

Practical AI integration

RAG assistants, LLM workflows, vector search, chat interfaces, and tool-use flows that sit inside real product constraints.

Useful when the AI feature needs retrieval, UX, guardrails, operations, and product fit, not only a prompt.

Best fit

AI-enabled products and serious web platforms

Startups, founders, and product teams that need architecture, implementation, and product judgment from one senior builder.

Typical work

RAG assistants, copilots, and workflow AI

LLM features connected to real product data, expert content, documents, support material, or repeatable internal workflows.

Platform work

Full-stack product builds and modernization

Greenfield products, platform slices, maintainability work, API/backend delivery, frontend quality, and safer migration paths.

Not ideal

Pure advisory decks or disposable demos

The fit is weaker when the work is only strategy, intentionally throwaway, or disconnected from production engineering quality.

Engagement options

Clear ways to bring me into a project.

Most successful engagements start with a concrete outcome: clarify an architecture, ship a product slice, or integrate AI into an existing system without losing production discipline.

1-2 weeks

Architecture sprint

Clarify the system shape, technical risks, stack decisions, and delivery path before a team commits to a build.

Architecture map, key tradeoffs, implementation plan, and first technical decisions.
4-12 weeks

Build partner

Hands-on product engineering for a concrete feature, platform slice, AI assistant, or full-stack product iteration.

Production code, UX implementation, backend/API work, deployment support, and technical leadership.
2-8 weeks

AI integration track

Bring RAG, chat interfaces, LLM workflows, or automation into an existing product without treating it as a toy demo.

Retrieval/data flow, assistant UX, integration code, guardrails, and rollout considerations.

Ask about my work

Use the assistant to check fit, experience, and project scope.

Ask about my background, Tinni-Care, architecture work, practical AI delivery, or the types of projects I can help build. It is meant to help you quickly assess whether I am the right fit before writing a project email.

I'm Markus Kurzmann's AI assistant. Ask about his background, Tinni-Care, technical fit, architecture experience, applied AI work, or the kinds of projects he can help build.

AI Assistant

The assistant can answer questions and help draft a project inquiry. Direct email sending is not configured here, so use the final draft with hello@kurzmann.io.

  • It helps shape a concise inquiry before you send it directly.
  • Chat messages are kept for up to 30 days so the conversation has context.
  • Do not share sensitive health, legal, financial, or confidential project information here.
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Contact

If you need senior architecture, product delivery, or practical AI integration for a real product, let’s talk.

Send a short note with what you want to build, where the project stands, and what kind of technical help you need. I am generally interested in relevant freelance and contract opportunities; exact timing and capacity are best discussed directly.

Vienna-based, working internationally

Calm execution, careful craft, and direct communication from Wien.

Email MarkusLinkedInGitHubYouTubeDraft with AI