Technical Product, Platform Architecture & AI-Enabled Delivery

From product need to production operation. stajic.de brings together hands-on software engineering, platform architecture, AI integration and structured project delivery to turn ideas and requirements into working digital systems.

The objective is not simply to build another website or attach AI to an existing interface. The objective is to understand the problem, structure the delivery, design the architecture, implement the system and prepare it for real operation.— stajic.de

Where Technical Implementation Meets Delivery

The professional focus sits at the intersection of technical product thinking, platform architecture, full-stack engineering, AI integration and project delivery. This combination makes it possible to connect business and product requirements directly with architecture, data, APIs, frontend implementation, infrastructure and production operation.

More than two decades of practical IT work are complemented by formal project and delivery qualifications: IPMA® Level D – Certified Project Management Associate and Professional Scrum Master I (PSM I).

From Requirement to Running System

Digital products are rarely one-layer problems. Effective delivery requires the technical and organizational layers to remain connected.

BUSINESS / PRODUCT NEED ↓
REQUIREMENTS ↓
PROJECT / DELIVERY STRUCTURE ↓
ARCHITECTURE ↓
DATABASE / API ↓
FRONTEND ↓
AI INTEGRATION ↓
DEPLOYMENT ↓
SEO / DISTRIBUTION ↓
PRODUCTION OPERATION

What We Build and Deliver

• Technical product and platform architecture — requirements, system boundaries, information architecture, data structures, API concepts and operational design.
• Full-stack applications — modern frontend, backend, database and integration layers for portals, internal systems and digital products.
• AI-enabled applications — local and cloud model integration, assistants, intelligent search, document workflows, RAG-oriented systems and AI-assisted automation.
• Platform modernization — restructuring or replatforming existing systems when architecture, maintainability, performance or operational control need improvement.
• Database and data architecture — relational and NoSQL systems, PostgreSQL, MySQL, MongoDB, Prisma, structured data and search-oriented architectures.
• Infrastructure and deployment — Linux, NGINX, Apache, PM2, Docker, Git-based workflows, deployment, troubleshooting and production operation.
• Technical SEO and multilingual publishing — information architecture, internationalization, sitemap structures, canonical strategies, structured data and semantic content systems.
• Project and delivery structure — requirements, milestones, risks, acceptance criteria, backlog structures, validation, documentation and operational readiness.

AI as an Application Capability, Not a Decoration

AI integration becomes valuable when it improves a real process, product or decision path. The focus is therefore not on adding a generic chatbot to an existing CMS, but on designing controlled AI capabilities around actual application requirements.

Practical work includes OpenAI and Codex integrations, local LLM workflows, Ollama, provider abstraction, RAG-oriented architectures, document ingestion, intelligent search, automation and AI-assisted development and publishing workflows.

Platforms Built and Operated in Practice

Independent platforms provide practical evidence across architecture, implementation, publishing, SEO, databases, deployment and continuous operation. These are not isolated demo projects, but environments used to develop and test real platform concepts.

stajic.de

stajic.de is the primary professional and technical platform, combining software engineering, AI, technical architecture, implementation case studies and structured enterprise delivery knowledge.

• Nuxt-based platform architecture
• Node/Nitro application and API concepts
• Prisma and PostgreSQL
• EditorJS-based structured publishing
• Multilingual information architecture
• Technical SEO and semantic content structures
• AI-assisted engineering and publishing workflows
• Linux and NGINX production operation
• Enterprise Delivery OS knowledge architecture

loving.rocks

loving.rocks is an international wedding and lifestyle platform built around multilingual publishing, semantic content architecture and structured SEO Pillars. The project combines technical platform development with audience structure, product positioning and long-term search visibility.

figure.rocks

figure.rocks is an evolving gaming and technology platform combining gaming experience, hardware and software guidance, networking, performance topics, collectibles and related technology. The project provides an additional environment for platform, taxonomy, SEO and product-positioning work.

Selected Technical and Product Work

Aaasaasa AI Client

Desktop AI-client architecture combining Electron, TypeScript, secure IPC, managed AI sidecars, local and remote models, streaming, model abstraction and cross-platform packaging. The project explores controlled application-level AI integration beyond isolated prompt experiments.

Enterprise Aaasaasa 0.1

Enterprise platform and PoC work combining SaaS and API concepts, CRUD, internationalization, AI integration and platform architecture with requirements, governance, milestones, risks, stakeholders, validation and formal project-delivery methods.

SenseFlow

Independent product concept developed through structured discovery, with current work focused on scope, assumptions, roadmap structure, traceable decisions and technical feasibility. The project is also used to connect product discovery with practical Jira and Confluence workflows.

Project, Product and Delivery Capability

Technical implementation is supported by structured delivery methods rather than treated as a separate discipline. This includes requirements clarification, scope definition, milestones, risk and opportunity management, acceptance criteria, backlog structure, validation, stakeholder communication, architecture decisions and operational readiness.

Certified Project and Scrum Competence

• IPMA® Level D – Certified Project Management Associate — PM-ZERT / GPM Deutsche Gesellschaft für Projektmanagement e. V.; issued 27 July 2026, valid until 26 July 2031.
• Professional Scrum Master I (PSM I) — Scrum.org; certified 18 August 2026.

Jira and Confluence in Delivery Practice

• Jira: Backlogs, epics, issues, tasks, workflow structures, acceptance criteria, delivery tracking and traceability.
• Confluence: Requirements, architecture documentation, decision records, scope, roadmaps, project knowledge and structured product documentation.
• Git and GitHub: Version-controlled implementation and technical collaboration across platform, Nuxt, Prisma and AI-client work.

Technology in Context

Technology choices are treated as implementation tools, not as the product itself. Current work commonly combines JavaScript, TypeScript, Vue, Nuxt, Node.js, PostgreSQL, Prisma, Linux, NGINX, APIs and modern AI runtimes. Earlier and complementary work includes PHP, Python, Django, MySQL, MongoDB, Solr, Docker, Apache, Three.js, OpenSeadragon and TensorFlow.

How Work Is Structured

1. Understand: Clarify the actual problem, target users, constraints, stakeholders and expected outcome.
2. Structure: Define requirements, scope, priorities, risks, acceptance criteria and delivery approach.
3. Architect: Design information flows, application boundaries, data models, APIs, infrastructure and operational requirements.
4. Implement: Build frontend, backend, integrations, databases and AI capabilities where they create real value.
5. Validate: Test functionality, quality, assumptions, performance and readiness against defined criteria.
6. Deploy: Prepare infrastructure, deployment, observability, security and recovery paths.
7. Operate and Improve: Monitor real behavior, troubleshoot, optimize performance, improve SEO and UX and evolve the product.

Professional Background

Professional experience ranges from networking, infrastructure and database systems through full-stack web development and digital cultural-heritage platforms to current AI-enabled platform and product work. This includes several years in Deutsches Museum Digital as well as independent technical and platform development.

The complete professional history, certifications, technology background and project portfolio are available in the Curriculum Vitae.

Build Something That Can Actually Run

For technical product, platform, modernization or AI-enabled application work, the starting point is the problem rather than a predetermined technology. The result should be a clear delivery path and a system that can be implemented, understood, operated and improved.