Engineering service
Product engineering & SaaS delivery
Full-stack delivery from editor UX and PDF correctness to billing, credits, and SEO-strong marketing sites.
- Stacks
- Next.js · React · Node · Supabase
- Monetisation
- Stripe · credits · workspaces
- Delivery
- Solo or small team
In depth
I ship products end-to-end: crisp editor UX, reliable backends, monetisation, and the boring operational details that keep a SaaS alive (tenancy, webhooks, docs). That includes document-heavy flows where export fidelity matters and marketing surfaces where SEO and Core Web Vitals are part of the definition of done.
Bewerbung.AI, QuickBilling, and SolutionPlus.io are three different shapes — AI coaching and PDFs, independent billing SaaS with OpenAPI, and a consultancy platform with a structured services catalogue — but the same discipline: measurable releases and code the team can extend.
What you get
Feature delivery across frontend, API, and data layer
Document and export pipelines with template-safe rendering
Public APIs and OpenAPI where integrations matter
Analytics-friendly events and basic growth instrumentation hooks
Deployment, CI, and staging/production hygiene
How we work
Define the product slice
Scope that can ship, with acceptance checks and edge cases listed.
Design the system
Tenancy, auth, billing touchpoints, and failure modes.
Build and integrate
Vertical slices with real data — not UI fiction.
Document and hand off
READMEs, API docs, and patterns for the next engineer.
Examples & past work
Outcomes you can expect
- Build document and workflow products with export fidelity and monetisation (e.g. Stripe, credits, email nudges).
- Launch solo or small-team SaaS with tenant boundaries, APIs, and operational discipline.
- Ship consultancy and catalogue sites with performance and SEO baselines the team can extend.
Questions, answered
Do you take ownership of design?
I collaborate tightly on UX and implement production UI; for brand-heavy campaigns I am happy to pair with your designer.
Can you work inside an existing codebase?
Yes — I optimise for matching your conventions and leaving fewer surprises than a greenfield spike.
How do you approach billing complexity?
Start with the simplest model that matches your reality (credits vs seats vs usage), wire webhooks conservatively, and document reconciliation paths early.
Book a free 30-minute discovery call to investigate your work and needs
I will map constraints, risks, and a practical first milestone — whether that is agents, retrieval, ingestion, extensions, or full-stack SaaS delivery.
Other services
Multi-agent workflows with planning, memory, typed tool calls, and human checkpoints — from creative-strategy platforms to assistant co-pilots.
Vector + relational retrieval, semantic chunking, and re-ranking so LLM outputs stay grounded when catalogues and documents get large.
Schedulers, retries, and normalised pipelines from ads APIs, social platforms, and internal services — built for scale and observability.