Building AI-native
products, systems
and experiences.
Independent creative technologist focused on AI workflows, product infrastructure, voice technology and scalable digital systems.
What I build
Three interconnected practices — AI systems, product engineering and creative technology — delivered as integrated platforms, not isolated services.
AI Systems
Agent architectures, AI workflows, conversational systems, semantic search and production ML infrastructure.
Product Engineering
Fullstack platforms, realtime applications, API ecosystems and scalable digital infrastructure built to ship.
Creative Technology
Voice and audio systems, interactive experiences, motion systems, AI-assisted media and generative interfaces.
How systems get built
Each engagement starts with a real problem. These are the system types I architect and build — without client names, focused on the thinking.
Conversational AI Project Creation System
Complex project intake relied on fragmented communication, repeated qualification and disconnected handoffs.
Conversational interfaces that guide users through project creation:
- —AI-assisted requirement gathering
- —Contextual memory handling
- —Intelligent question flows
- —Automated project structuring
- —Dynamic workflow routing
- —Recommendation systems
- AI-native project workflows
- Replaced fragmented communication
- Faster intake cycles
Semantic Search & Recommendation Systems
Large databases returned imprecise results relying solely on traditional keyword filtering.
AI-powered search systems using:
- —Embeddings-based similarity search
- —Semantic ranking
- —Contextual filtering
- —Multilingual indexing
- —Recommendation logic
- —Intelligent discovery systems
- Intent-driven retrieval
- Higher result relevance
- Multilingual coverage
AI Workflow & Operations Systems
Repetitive coordination tasks consumed team capacity that should have been focused on delivery.
AI-assisted workflow infrastructure for:
- —Task orchestration
- —Project coordination
- —Communication routing
- —Contextual knowledge aggregation
- —Production management
- —Operational automation
- Reduced coordination overhead
- Intelligent task routing
- Scalable operations
AI Agent & Automation Systems
Complex operational workflows required repeated human decision-making that could be delegated to intelligent systems.
AI-agent workflows capable of:
- —Delegated task execution
- —Contextual memory routing
- —Workflow orchestration
- —Local and cloud AI integration
- —Multi-agent coordination
- —Automated operational support
- Delegated complex tasks
- Multi-agent coordination
- Operational AI support
AI-assisted Talent & Freelancer Matching
Manual talent selection was slow, subjective and failed to surface the best matches from large candidate pools.
Intelligent matching systems through:
- —Semantic profile analysis
- —Contextual recommendations
- —AI-assisted filtering
- —Conversational project intake
- —Ranking systems
- —Workflow-integrated matching logic
- Higher match quality
- Reduced selection time
- Intent-driven discovery
Systems-first approach
Understand Complexity
Map existing processes, communication flows and system dependencies before touching a line of code. Problems that look like feature requests are usually architecture questions.
Design Infrastructure
Build scalable system architectures, not isolated features. Every decision accounts for future load, integration points and operational maintainability.
Build Rapidly
Fast iteration with modern AI and fullstack technologies. Working software ships early; feedback loops replace lengthy specification cycles.
Automate & Scale
Replace manual processes with intelligent workflows. Systems that work at launch should continue working as usage grows — without proportional human overhead.
I design systems where AI, automation and creative technology intersect.
My work combines product engineering, media systems and intelligent workflows — from conversational interfaces and semantic search to voice infrastructure and scalable digital platforms. With a background across technology, production and creative direction, I focus on building systems that are both technically robust and experientially refined.
Work
Featured projects and full archive — filtered by discipline.
Voicfy Platform
Built a full-stack voice platform from product concept to production deployment, including billing, user flows and scalable architecture.
Created a reusable platform foundation for rapid feature rollout and monetization.
Voicfy Real Voice TTS (Diffusion)
Developed a diffusion-based real voice TTS system with training and inference pipelines for production usage.
Improved output quality and enabled reliable high-volume voice generation workflows.
Movie Score for Treppe Aufwärts
Composed and produced the movie score for Treppe Aufwärts, a German feature drama (2015) by Mia Maariel Meyer. The music direction was built around scene tension, family conflict and editorial rhythm, from thematic sketching to final mix delivery.
Established a coherent sonic identity across key character arcs and supported emotional continuity between dialogue-driven and high-pressure sequences. The score approach helped connect narrative pacing from festival presentation to theatrical release in Germany.
KaDeWe Group Digital Design
Designed digital experience assets and visual systems for KaDeWe Group brand and campaign touchpoints.
Improved visual consistency across premium retail communication formats.
AI Operations Copilot
Implemented triage and routing automation across service channels with human-in-the-loop controls and audit-ready execution logs.
Reduced manual handling effort and stabilized operational throughput.
National Geographic / Nat Geo Wild
Produced and coordinated multilingual announcer and voice recording sessions for Nat Geo Wild and National Geographic international programming from 2008 to 2010, covering studio production, language versioning, delivery support and on-air presentation workflows for wildlife documentaries and factual entertainment formats.
Consistent multilingual broadcast delivery across voice talent coordination, localization workflows and final transmission standards.
Strategy to production — with measurable KPIs.
Tools & technologies
Identifying processes that can be improved with AI in a meaningful way.
A review of existing workflows shows where AI can create the most leverage. Relevant use cases are then prioritized and translated into a realistic implementation plan.
What this covers
- When you first need to understand where AI can genuinely help in your current processes.
- When too many workflows are still manual and consume time you want to reduce.
- When you want to filter a long list of possible use cases down to the ones with the biggest impact.
- When the assessment should also turn into a clear implementation plan.
Process
Assessment
We review your workflows, identify manual steps and find the processes with the biggest AI potential.
Pilot
Once a use case is clear, an initial version is built with real data and a clean feedback loop.
Rollout
Then comes integration into your systems, production monitoring and handoff to your team.
Let's create something.
Tell me what you're up to.