Senior eCommerce Engineering
Two decades of deep eCommerce experience. AI as a force multiplier, not a shortcut.
Accelerated delivery — with architecture, testing, and production discipline intact.
Trusted by
AI × Experience
AI doesn't replace engineering experience. It multiplies it.
20+ years of experience
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AI / LLM
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deeper investigation
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faster validation
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shorter cycles
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production-ready delivery
Deep domain knowledge defines what to build and where the risks are. AI accelerates the path from problem to working solution — with architecture, testing, and production discipline intact.
The same arc that moved commerce from monolith to composable now applies to engineering itself — AI as the next layer of leverage, not a replacement for architecture and production discipline.
Stack
From monolithic platforms to composable commerce — the same engineering arc now extends to AI-assisted delivery.
Concrete examples
Real acceleration from production workflows — not hypothetical promises.
Investigation
2–3 days tracing dependencies, dead code, and integration points in an unfamiliar legacy codebase.
Half a day with AI-assisted code mapping — critical paths identified, risks documented, team aligned.
Architecture
1–2 weeks of whiteboard sessions and spike code to evaluate integration approaches.
2–3 days — multiple architecture options prototyped, trade-offs documented, decision ready.
Integrations
1 week writing connector scaffolding, error handling, and test fixtures for a new ERP integration.
1–2 days — boilerplate generated and refined, engineer focuses on business logic and edge cases.
Quality
Days reproducing intermittent checkout failures across staging and production logs.
Hours — AI-assisted log analysis and test case generation narrow root cause more efficiently.
Scope
Difficult eCommerce problems tend to repeat — legacy debt, fragile integrations, performance at scale.
Greenfield storefronts and commerce backends — Shopify, commercetools, Saleor, Medusa, or custom stacks — from architecture to production.
Move from legacy monoliths toward headless and composable architectures — including Magento and Adobe Commerce — without losing business logic or uptime.
Untangle years of technical debt, broken integrations, and fragile deployments — modernize incrementally, not via big-bang rewrite.
ERP, PIM, payments, shipping, and marketplace connectors — event-driven pipelines designed for reliability at scale.
Slow checkout, database bottlenecks, cache invalidation — diagnosed and fixed at the root cause across monolith and composable stacks.
LLMs, RAG, agents, and MCP tooling to accelerate investigation, prototyping, and delivery — without sacrificing engineering quality.
Hands-on senior engineering support for distributed teams — architecture decisions, code reviews, and production delivery.
Digital sovereignty
Technology independence · reduced vendor lock-in
Digital sovereignty is the policy term — in practice, it means keeping control of your stack, your data, and your options.
From vendor lock-in assessment to open-source migration and technology-independent architecture.
Learn more →Proof
About
Two decades of deep eCommerce experience. AI as a force multiplier, not a shortcut.
Over two decades building eCommerce — from monolithic platforms and custom PHP to composable architectures with React, Next.js, and modern commerce APIs.
Legacy systems, including Magento and Adobe Commerce, remain in scope — alongside Shopify, commercetools, Saleor, Medusa, and greenfield headless builds. Content and portal systems such as TYPO3 — common in DACH enterprise — integrate with commerce where catalog and content meet.
The work spans architecture, full-stack development, integrations, performance, and technical leadership across international teams.
Hands-on by default: reading code, designing systems, and shipping to production — not advising from the sidelines.
AI and LLM tools act as the next multiplier — not a shortcut — accelerating investigation, prototyping, and repetitive engineering without replacing the judgment that comes from years of production experience.