~ / profile / alexander-schauff

Open for contracts & full-time · Full-stack + AI

Alexander Schauff.

I take ideas from zero to running product. Solo or with a team. Design, frontend, backend, deployment, and the maintenance that follows. TypeScript & SvelteKit by preference, with a strong AI layer on top. Currently driving the AI work at WDW Group.

View work → Send a message

Most recent · shipped at WDW Group Full history →

~200 people at the client with access to the orchestrator

30s → 6s to a correct answer on our Confluence benchmark

1 month from idea to production, internal resume tool

profile.json

location: Mönchengladbach · DE
role: Full-stack engineer
superpower: zero → product - solo
stack: TS · SvelteKit · Bun
ai: Agents · RAG · Local LLMs
since: 2019

Tokens out

— /week

Solo builds

9 end-to-end

Tests

— automated

Last deploy

—

Primary stack · 16 in active rotation See all →

TypeScript

Primary

Svelte(Kit)

Primary

Tailwind CSS

Primary

Claude Code

Primary

Agentic Development

Primary

Claude API

Primary

Node.js

Strong

Bun

Strong

Docker

Strong

PostgreSQL

Strong

Dokku

Strong

GitLab

Strong

Supabase

Strong

OpenAI API

Strong

Local LLMs

Strong

Python

Strong

↓ scroll to explore ~ 6 sections · 5 min read

§ 02 · Selected work

Things I've built.

Products I built and still run. The numbers on every card are read out of the repositories themselves and refresh on each deploy.

01 / yaysim

Ongoing

● /yaysim

International eSIM Service

Buying eSIMs for international travel is confusing and slow. I built a platform that gets you connected in under two minutes: multi-step configuration wizard, real-time provisioning, Stripe payments, and one-click eSIM install. Also handles internationalization (i18n) and rate limiting to keep things solid under load.

122

Components

Endpoints

38,972

LOC

Tables

SvelteKitSvelte 5SupabasePostgreSQLStripeTailwind v4ResendPlaywrighti18n +2

Open live ↗

02 / jobdex

Ongoing

● /jobdex

AI-Powered Job Aggregator

Job listings are notoriously hard to filter properly, and I kept hearing the same frustration from others. I built the MVP in a single weekend, then iterated it into a serious extraction pipeline combining traditional filtering, cloud models (Claude) and Google's Gemma models running locally in LM Studio to turn messy job postings into cleanly structured, filterable data. The pipeline is self-learning, improving extraction quality over time across different ATS platforms and clients.

Components

Endpoints

8,394

LOC

SvelteKitSvelte 5Drizzle ORMPostgreSQLClaude Code CLILM StudioTailwind v4 +5

Open live ↗

03 / wohinwann

Ongoing

● /wohinwann

Programmatic SEO Travel Platform

Every trip has a better and worse time to take it, and a beach week and a city break want completely different weather. I built a programmatic-SEO content platform for the German travel market that turns picking the destination and month into an optimization you can actually solve, with real data: hundreds of statically generated pages combining 30-year climate normals, per-Bundesland Brückentage and Schulferien hubs, and month-by-month destination rankings, plus an interactive planner that ranks every bridge window by how many days off it buys per vacation day spent and then matches the best windows to destinations whose climate actually suits them.

Components

Endpoints

20,479

LOC

SvelteKitSvelte 5Drizzle ORMPostgreSQLClaude Code CLITailwind v4Better AuthBun +2

Open live ↗

04 / pai

Ongoing

● /pai

Personal AI Interface

Cloud chat starts from nothing every session. PAI is a self-hosted agent OS that does not: it sends mail from my real accounts, schedules events, scrapes pages for research, and runs cron jobs that watch a situation over weeks and push when something moves. Underneath is a typed memory layer, project ledgers and topic dossiers that surface themselves into the next session. Claude runs the agent loop; OpenAI's reasoning model reviews the diff before I commit, and keeps reviewing until a round comes back clean.

Components

29,326

LOC

SvelteKitSvelte 5BunWebSocketClaude Code CLICodex CLIMCPSQLiteParakeet ASR +6

MCP server on GitHub ↗

05 / commitme-v2

Ongoing

● /commitme-v2

CommitMe · v2 (Ground-Up Rewrite)

The original CommitMe hit its ceiling. The SPA architecture couldn't support the features users actually wanted, so instead of patching it I rewrote it from the ground up in SvelteKit with SSR, a completely redesigned UI, Claude-powered habit insights, crew-based social accountability, gamification with XP and leaderboards, and automated email digests. Knowing when to rewrite vs. iterate is half the battle. Streaks are the product's spine, so they get treated as one. Absence mode lets you buy days off for a holiday or an illness and keep the run intact, earned at a quarter of a day per day completed, because a tracker that punishes you for a week away teaches you to stop opening it. The streak itself is no longer a stored counter that gets incremented and hoped over: it is derived on read from the completion and absence history, so a retry, a timezone change or a daylight-saving repeat cannot inflate it, and there is exactly one writer in the database. It now has a public face as well as an app: a marketing site with the product's own UI rendered as live components rather than screenshots, plus the legal pages a German-hosted service needs.

123

Components

Endpoints

51,628

LOC

Tables

SvelteKitSvelte 5SupabasePostgreSQLClaude APITailwind v4ResendOneSignal +3

Open live ↗

06 / commitme

Archived

● /commitme

CommitMe · v1 (Original PWA)

The original CommitMe: a goal-achieving PWA with bets, groups, streaks, and gamification, built as a Svelte SPA on Supabase. Later outgrown and rewritten from the ground up as v2.

Tables

Functions

SvelteSupabasePostgresTailwindFlowbitePush APIRealtimeDokkuGit

07 / memoreize

Ongoing

● /memoreize

Book Summaries Web-App

Reading a book is one thing, retaining it is another. I built a platform that generates structured book summaries and pairs them with spaced repetition so the knowledge actually sticks. Two apps: the spaced-repetition backend, and a frontend that keeps its logic in server endpoints and renders on the server.

Tables

Functions

SvelteKitSupabaseOpenAIPostgresTailwindFlowbiteDokkuGit

Open live ↗

08 / srs

Ongoing

● /srs

Multi-Tenant Spaced Repetition Backend

Spaced repetition is the same problem in every app that teaches something, so I built the engine once and kept it generic from the start. It runs as its own multi-tenant deployment rather than as one product’s feature: cards, scheduling and review state sit behind a single service, and each app brings only its own content and UI. It was written for memoreize; Artikly and a Spanish vocabulary app I built for myself run on it now, sharing the review-session state machine as a client library that is embedded into each app with git subtree instead of published to a registry.

SvelteKitBunPostgreSQLDrizzle ORMDockerDokkuPlaywright

09 / supptimize

Completed

● /supptimize

Supplement Scheduling App

Most people take supplements wrong. Bad timing, conflicting interactions, wasted money. I built a scheduling tool that designs your daily plan around ingredient synergies, negative interactions, and dosage limits. Snap a label photo and the AI extracts the full ingredient list for you.

Components

Endpoints

4,265

LOC

Tables

SvelteKitSupabasePostgresTailwindFlowbiteOpenAIDokkuGit

View demo ↗

§ 03 · About

README.md

main · last updated Sep 2026

# alexander-schauff

I'm Alex, a full-stack engineer based in Mönchengladbach, half an hour west of Düsseldorf.

What I actually do: take an idea from zero to a running product. Ideation, product shape, UI design, frontend, backend, infrastructure, deployment, and the months of maintenance that come after. Full-stack in the old-school sense: whatever the product needs, I build.

I work equally well on my own or as part of a team. When a project needs one engineer to carry it end-to-end, I can do that. yaysim, CommitMe, memoreize and jobdex are examples, all built and shipped solo. When it needs collaboration, design reviews, pairing, or mentoring, I slot in naturally. At WDW I'm doing both: driving the AI work across the company while building products alongside colleagues.

I've been building with LLMs since the GPT-3.5 days, and it's been my full-time focus since 2025. Privately: jobdex's extraction pipeline, pai's MCP-driven Claude interface, and an SEO pipeline. At WDW: internal tooling, RAG systems, and self-healing networks, forward-deployed inside a client's own stack, where a multi-agent orchestrator diagnosed network infrastructure across their own systems. Every tool it reached was read-only; approval-gated remediation was the direction.

TypeScript, SvelteKit and Bun are my favourites. It's the stack that gets me from whiteboard to production fastest, and what I reach for first on any new project. The LangChain ecosystem fills in the AI side, and Python when the problem really calls for it. Earlier roots in web3 and enterprise Vue and Nest.

When I step away from the keyboard, you'll usually find me at the gym or on a plane somewhere around the world.

Currently

Driving the AI work at WDW Group. Shipped an internal resume tool from idea to production in a month, and most recently forward-deployed on self-healing networks: a customer project where a multi-agent orchestrator diagnosed network infrastructure across the client's own systems, on a fully self-hosted LangChain stack. Remediation, approval-gated, was the direction.

Start a conversation → LinkedIn ↗

§ 04 · Experience

Roles & history.

A chronological ledger of the teams I've worked on and the tools I used at each stop.

Total

3 entries

// Responsibilities

- Driving the company-wide AI work, from proofs of concept through production systems
- Architecting and building agentic systems on the self-hosted LangChain ecosystem
- Designing RAG pipelines, prompt strategies, and HITL-gated automation flows
- Building full products end-to-end: ideation, architecture, frontend, backend, deployment
- Running local LLM inference for privacy-sensitive customer environments
- Evaluating and rolling out AI developer tools (Claude Code, Cursor) across the team
- Modernising legacy telecoms systems when AI work allows
- Integrating Microsoft Graph / Teams SDK for enterprise app contexts
- Camunda 8 certification for workflow automation

// Achievements

✓
Shipped internal resume tool from idea to production in ~1 month

→ Replaced messy Word-based workflow with a centralised SvelteKit app. Normalised CV data, made it easy to manage across projects, and is already saving the team significant time. Stakeholders extremely positive, now used productively company-wide.
✓
Forward-deployed on the self-healing networks customer project

→ In production inside the customer stack, with around 200 people at the client on it, unifying Confluence, Jira, OTRS and Grafana behind one multi-agent orchestrator. I owned the Confluence agent end to end, built the Jira and OTRS integrations and the permissions layer, and was the top contributor to the orchestrator that routes between them. On our Confluence benchmark query, time to a correct answer went from roughly 30 seconds to 6. I also built the eval harness that catches the quality regressions a latency metric hides.
✓
Built the complete frontend for the company-wide AI chat interface

→ Gave every team at WDW access to internal AI capabilities through a polished UI.
✓
Led the evaluation and rollout of modern AI development tools

→ Proposed and ran a two-sprint Claude Code trial, driving broader team adoption.

// Key projects

Self-Healing Networks (SHN)

Forward-deployed with the client's engineers, building inside their live stack on fully self-hosted models because the data cannot leave. One orchestrator instead of four systems: a LangGraph orchestrator that plans, fans out in parallel to five agent subgraphs over Confluence, Jira, OTRS and Grafana through MCP, then evaluates and refines before answering. Retrieval runs against their live systems rather than an index we maintain, so nothing goes stale. I owned the Confluence agent, built the Jira and OTRS integrations and the permissions layer, and was the top contributor to the orchestrator. Because GPU capacity rather than token cost is the constraint, most of the tuning went into avoiding LLM calls: heuristic routing before the planner, skipping evaluation when a single agent succeeds, caching reads. On our Confluence benchmark query, time to a correct answer went from about 30 seconds to 6. Every tool was read-only; approval-gated remediation was the direction.

PythonLangChainLangGraphMCPLocal LLMsOllamaDockerRAGAgentsEvalsLangfuse

Internal Resume Tool

Led ideation, product shape, architecture and the bulk of the SvelteKit implementation. Took the team from messy Word documents to a live, normalised, multi-project resume platform in about one month. Deployed on the internal Kubernetes cluster. Now running productively and saving significant time on every new proposal.

SvelteKitTypeScriptPostgreSQLTailwindClaude APIKubernetes

Company AI Chat Interface

Full frontend for an internal AI chat product, giving every team at WDW a single interface for their AI capabilities. Also deployed on the internal Kubernetes platform.

AngularTypeScriptTailwindMicrosoft Graph APIMicrosoft Teams SDKKubernetes

// Stack

TypeScriptSvelteKitPythonAngularReactLangChainLangGraphClaude APIOpenAILocal LLMsOllamaMCPRAGAgentsKubernetesDockerPostgreSQLMicrosoft Graph APIMicrosoft Teams SDKCamunda 8TailwindNode.js

§ 05 · Stack

Tools & technologies.

Languages, frameworks and services I reach for, filtered by where they sit in the stack.

13 items

Name

Get in touch.

A role, a project, or a question about something on this page. The form reaches my inbox, or write to me directly.

compose.message

Alexander Schauff.

Things I've built.

International eSIM Service

AI-Powered Job Aggregator

Programmatic SEO Travel Platform

Personal AI Interface

CommitMe · v2 (Ground-Up Rewrite)

CommitMe · v1 (Original PWA)

Book Summaries Web-App

Multi-Tenant Spaced Repetition Backend

Supplement Scheduling App

README.md

# alexander-schauff

Roles & history.

Full-Stack Engineer · Driving AI Initiatives

Self-Healing Networks (SHN)

Internal Resume Tool

Company AI Chat Interface

dApp Engineer

Co-Founder & Developer

Tools & technologies.

Get in touch.