Clarify the use case
Together we assess the process, value, data and risks. Then we decide what is worth building and what is not.
Prioritized scope · Feasibility · Delivery plan
Germany / EU / US · Remote
Working with me
I take projects from problem to production.
I started with technology at 14, learning web security and SQL injection and building my first websites. That led to formal IT training, computer science studies and an award in an interdisciplinary university competition. Since 2015, I have worked professionally across infrastructure, data, web and product engineering; independently since 2018. Today I work directly with founders, business teams and engineers in German or English across Germany, the EU and the US.
- Experience
- In tech since age 14 · Independent since 2018
- Engagement
- Independent · Project or interim
- Focus
- AI, automation and digital products
- Region
- Remote · Germany, EU and US
Reference
“In our network, he has an outstanding reputation. Personally, I can say that he is a one-man army. He’s pragmatic, solves problems efficiently, and has the right experience.”
Thomas Marbella
Founder & CEO, OneCode GmbH
Original conversation
Tailorwine & Founders League
A conversation about Tailorwine and the work behind the digital product.
Watch on YouTubeIndependent AI Consultant & Product Engineer
AI consultingthat ships.
I find the AI use cases that pay for themselves and build the systems that take real work off your team.
From process analysis and prototyping to integration and production. For companies and product teams that need AI to do useful work, not just look good in a demo.
IndependentRemote Germany / EU / USGerman / English
Project briefdelivery
- Engagement
- AI consulting + delivery
- Scope
- Process · Product · Integration
- Outcome
- System in production
Definition of done
It runs in production. The owners understand it. The team can operate it.
ElectaCar
3 days
to a working first version
ElectaCar
6 weeks
from kickoff to production
Syntax Institut
3 months
from concept to first paying customers
VOXR
7 / 10
of the largest DAX companies use the product
The elephant in the room
AI demos are easy. Making one useful, reliable and worth the cost is the real work.
The model is rarely the bottleneck. Data, rules, permissions, integrations, failure modes and ownership are. Most of that stays invisible until something breaks.
What people see
Model, prompt, demo
What has to work
- Data and business rules
- Permissions and integrations
- Approvals and error paths
- Monitoring and ownership
That is the gap I close: from a convincing demo to a system people can rely on.
What I take ownership of
From an open problem to a working system.
I keep consulting and implementation together. Nothing gets lost in handoffs, and every decision is tested against the real product.
Build the workflow
Connect business logic, AI decisions, APIs and existing systems into a reliable workflow.
Prototype · Integrations · Approval and error paths
Put it into production
I roll out the solution, monitor it and document it so your team is not dependent on one person.
Deployment · Monitoring · Documentation · Handover
When I am useful
Problems I usually step into
- 01You have an AI use case, but nobody owns both the scope and the build.
- 02A manual process is slowing growth, margin or response times.
- 03A digital product needs temporary product and engineering ownership.
How I work
An agent is not a business process.
Reliable automation needs clear rules, limited permissions and controlled handoffs. AI belongs only where fixed logic cannot do the job.
The result is not another demo chatbot. It is a traceable system that handles real work.
How a process becomes a systemRules, control, operations
- 01
Input
Data, request or manual process
- 02
Rules
Validation and fixed business logic
- 03
AI
Only where context and judgment are needed
- 04
Approval
Human control for critical steps
- 05
Operations
Logging, monitoring and clear ownership
API & dataLogs & error pathsHandover & operations
Selected projects
Production systems, not just features.
The difficult parts, the decisions behind them and the stack used to keep each system working in production.
2026
ElectaCar
Vehicle data, insurance and AI operations
Open project- Built the backend that combines government pricing, technical specifications, insurer mappings and media into one catalog for more than 100 vehicle models.
- Built a 12 stage publishing workflow that validates each vehicle, generates multilingual content and prepares production catalog images.
- Used Temporal for long running research, content and browser jobs, with retries and recovery after worker restarts.
- Separated the API, AI workers and browser workers from the public website, so unfinished or failed jobs never reach live pages.
- Built the quote and broker workflow with separate provider integrations, secure status access, email relaying and protected background processing.
Core stack
Python, FastAPI, Temporal, PostgreSQL, React, Next.js, TypeScript, Playwright and Docker.
2026
Heyamigo + Amigospace
First party AI agent runtime and context engine
Open project- Published a WhatsApp and Telegram AI assistant with more than 15,000 npm downloads.
- Runs Claude Code, OpenAI Codex, Gemini CLI and Grok Build through their first party command line tools, preserving each provider's sessions, reasoning and tool use.
- Keeps messages ordered in durable conversation queues and resumes interrupted work after a crash or restart.
- Runs browser tasks in isolated workers and separates memory into hot work, warm summaries and searchable cold source material.
Core stack
TypeScript, React, Node.js, Fastify, PostgreSQL with pgvector, SQLite, Playwright, MCP and Kubernetes.
2026
Google Ads Operations Platform
Controlled advertising and commerce operations
Private system
- Built a multi workspace platform that synchronizes live Google Ads structure, performance and account changes, then shows the difference before approved data is saved.
- Separated dry runs, Google validation and live publishing. Creating or adopting an ad group requires explicit confirmation before a campaign is changed.
- Kept AI generation outside the live publishing path. Every ad passes fixed content rules and operator review before it reaches Google.
- Connected Google Ads with Shopify products, orders and store revenue to calculate profitability by campaign, ad group and keyword.
- Recorded every publish attempt and Google account change, with historical snapshots that make unexpected changes traceable.
Core stack
TypeScript, Node.js, Express, Next.js, React, Google Ads API, Shopify Admin GraphQL, Zod, Zustand, Docker, Railway and Vitest.
2025 to 2026
RuntimeAffiliate
Multi merchant commerce and commission platform
Open project- Built one order and commission backend for multiple Shopify stores while keeping every store's data and balances separate.
- Tracks purchases through discount codes, Shopify App Pixel and a storefront SDK for standard Shopify themes and Hydrogen.
- Verifies browser purchase signals against the final Shopify order before recording commission, then adjusts balances when an order is refunded.
- Processes orders and refunds through a durable queue with duplicate protection, up to 10 retries and an hourly check for webhooks Shopify did not deliver.
Core stack
TypeScript, React, Next.js, PostgreSQL, Drizzle ORM, Shopify Admin API, AWS S3, Railway, Resend and Vitest.
2024 to 2026
BREAKEATS
Real time music and motion research
Private system
- Worked with a former NVIDIA manager and multiple patent holder on a new way to measure how closely movement follows music.
- Captured movement from iPhone and headphone sensors, then matched motion peaks against nine audio frequency bands in real time.
- Built latency aware scoring for hits, misses, silence, coverage and streaks across mobile and server systems.
- Moved recorded sessions into a Python worker for repeatable analysis and built diagnostic timelines for tracing errors in the matching algorithm.
Core stack
Swift, SwiftUI, CoreMotion, Accelerate/vDSP, LiveKit, Python, FastAPI, NumPy, SciPy, TypeScript, PostgreSQL, Docker and Kubernetes.
2024
DAYONE
FAMFAM music community platform
Open project- Developed a music community and event app cofounded by the Keinemusik DJ collective in a team of more than ten. It reached more than 12,000 users and the App Store Top 10 in Music.
- Built artist publishing, event invitations, reservations, push notifications and Stripe donations across the React Native app and React dashboard.
Core stack
React Native, Expo, React, TypeScript, AWS Cognito, API Gateway and Stripe.
2023 to 2024
Syntax Institut
Learning commerce, progress and certification
Open project- Built and launched the B2C learning platform from concept to paying customers in three months. It supports more than 3,000 active students for a training provider with over 100 instructors.
- Connected Stripe subscriptions and lifetime purchases to course access through signed webhooks, so confirmed payments unlock the correct content.
- Built server controlled progress, access and quizzes across modules and cohorts, with more than 27,000 quiz results processed in production.
- Added approval controlled PDF certificates and resumable learning across lectures, lessons and course materials.
Core stack
Next.js, React, TypeScript, NextAuth, Strapi, Node.js, PostgreSQL, Stripe, Sentry and React PDF.
2024
ÖGB Verlag
Adobe Experience Manager publishing platform
Private system
- Delivered the frontend migration of two large public websites to Adobe Experience Manager, including Gesunde Arbeit with more than 2,000 indexed pages.
- Built and adapted more than 30 components for navigation, search, forms, articles, galleries, downloads and audio.
- Built separate themes on a versioned shared platform, allowing several sites to reuse core components while keeping their own brands and layouts.
Core stack
Adobe Experience Manager, React, TypeScript, Tailwind CSS, SCSS, BEM and Webpack.
2022
Luxury Essence
Connected travel publishing platform
Open project- Built the publishing platform behind a luxury travel magazine with more than 170 articles, connecting editorial content directly with edel.travel hotels and tours.
- Connected the WordPress editor to the Directus travel catalog, keeping hotels, tours, destinations, advisors and media current without manual copying.
- Created 14 purpose built content blocks and limited the editor to approved layouts, giving the team publishing freedom without losing brand consistency.
Core stack
PHP, WordPress, Gutenberg, ACF, Directus, Tailwind CSS, JavaScript and Swiper.
2022
Tailorwine
B2B digital sommelier
Open project- Built the B2B MVP from scratch using existing consumer taste data. The working product helped Tailorwine win REWE and EDEKA.
- Turned sommelier knowledge into a 17 question flow that builds a taste profile and returns three wine recommendations in about 60 seconds.
- Built the experience for customer phones and in store touchscreens, without requiring customer accounts or a dedicated app.
Core stack
TypeScript, React, Tailwind CSS, Strapi and Sentry.
2017 to 2020
VOXR
High performance live event platform
Private system
- Led product and engineering for a platform used by the German federal government and 7 of the 10 largest DAX companies, including live events with more than 10,000 participants.
- Built a high performance version in pure JavaScript, keeping the client small and network requests minimal on overloaded venue WiFi.
- Designed live voting, questions, moderation and stage output for traffic bursts where thousands of people submit within seconds.
- Operated the system during live events and TV broadcasts, resolving critical failures while the platform was in use on stage.
Core stack
Pure JavaScript with a minimal browser runtime designed for unreliable venue networks.
Technical implementation
I can advise, architect and build.
If the bottleneck is the data model, API, frontend, agent logic or production setup, I can take it on directly. The stack serves the product, not the other way around.
AI systems & agents
Agent logic, tool calls, memory, browser automation and evaluation.
OpenAI · Anthropic · Grok · Tool Use
RAG & retrieval
Custom retrieval pipelines and framework-based orchestration for documents, knowledge and search.
LangChain · LangGraph · Haystack · RAGFlow
Web & product
Production-ready interfaces, admin flows and internal tools.
TypeScript · React · Next.js · Node.js
MCP & integrations
Custom MCP servers and connections for tools, data sources and production workflows.
MCP · REST · GraphQL · Webhooks
GEO & LLMO
AI-readable content, agent discovery and technical visibility in answer systems.
llms.txt · JSON-LD · Markdown · Agent Discovery
Operations
Queues, cron jobs, error paths, logging and monitoring.
Vercel · Webhooks · Background Jobs · Cron
What this changes
Architecture decisions are made against the live system, then implemented by the same person. No gap between the advice and the build.
A real project?
Show me the work your team still does by hand.
Two or three sentences about the current process, the outcome you need and the timeline are enough. I will tell you directly whether I can help and what I would do first.