Technical Product & Platform Architect Munich: AI, Software & Delivery

I work in the Munich area across technical product development, platform architecture, software engineering, AI integration and structured delivery. The role is broader than conventional Full-Stack Development: the objective is to connect product requirements, architecture, implementation and production operation so that technical decisions remain coherent from the first requirement to the running system.

One Technical Path from Requirement to Production

A platform decision affects the database. The database shapes APIs. APIs affect application state. Permissions constrain AI tools. Infrastructure affects model choices. Deployment changes reliability requirements. Search and multilingual architecture influence how the finished system is discovered. These layers are connected whether a project team treats them separately or not.

Where This Capability Fits

Technical Product & Solution Architecture

Turn a product or business objective into system boundaries, requirements, non-functional requirements, data models, API contracts, integration decisions, permissions and an implementable technical roadmap.

Platform & SaaS Architecture

Design reusable foundations for multi-tenant applications, shared services, RBAC, multilingual systems, modular APIs, structured publishing and reusable platform capabilities instead of solving the same concern independently in every feature.

AI Integration

Integrate hosted or local models into real application architecture, including provider abstraction, RAG, retrieval, tools, agents, application state, permissions, structured outputs and validation. AI capability is designed together with the data and software boundaries around it.

Hands-On Software Engineering

Implement frontend, backend, APIs, databases and platform components with current technologies including Nuxt, Vue, TypeScript, Node.js, Prisma and PostgreSQL. Full-stack implementation makes it possible to carry architectural decisions into working software rather than stopping at design documents.

Technical Delivery & Project Structure

Structure requirements, milestones, risks, acceptance criteria, backlog, architecture decisions, validation and production readiness. IPMA® Level D and Professional Scrum Master I complement the technical implementation with formal delivery methods.

Modernization, Infrastructure & Production

Modernize existing systems through clearer architecture, framework and runtime upgrades, database or API restructuring, deployment improvements and production hardening. Linux, NGINX, process management, migrations, diagnostics and release behavior remain part of the engineering picture.

Technical SEO & Discoverability

For content-rich or multilingual systems, crawlability, URL architecture, canonical logic, hreflang, structured data, internal linking, sitemaps and rendering strategy are platform concerns. Search and AI discoverability are therefore connected to the underlying application and content architecture.

Proof Through Working Systems

The approach is demonstrated through independent systems and platform work rather than through capability claims alone.

• stajic.de — professional platform, multilingual publishing system and primary-source technical knowledge base.
• Aaasaasa AI Client — desktop AI architecture with local and remote model support, provider abstraction and controlled permissions.
• Source of Truth Research Engine — evidence-oriented research architecture with provenance, claims and contradiction handling.
• SenseFlow — structured product discovery, requirements, delivery traceability and architecture workflow.
• loving.rocks, figure.rocks and bazify.com — independent domain platforms used to develop and validate publishing, search, taxonomy, commerce and platform concepts.

How an Engagement Can Start

Not every project requires the complete stack. Work can begin with a focused architecture review, a difficult implementation layer, a product discovery phase, an AI integration, a modernization task or a complete product path from requirements to production.

• Technical product and architecture assessment
• Solution or platform architecture
• Discovery and MVP / PoC structuring
• Full-stack implementation of defined capabilities
• AI, RAG and local-model integration
• Platform modernization and migration
• Technical SEO and multilingual platform architecture
• Deployment, troubleshooting and production evolution

Munich and Distributed Collaboration

Based in the Munich area, I can work with local organizations as well as distributed teams. The delivery model remains the same: explicit requirements, traceable decisions, maintainable architecture, version-controlled implementation and production-oriented validation.

From Technical Opportunity to Working Product

The useful outcome is not another architecture document, another isolated feature or another AI demo. It is a system whose product logic, technical boundaries, implementation and operational behavior fit together well enough to continue evolving after launch.