Qais YousufQais Yousuf
Software Engineer / Product BuilderNordic / EU

SoftwareWithoutThe noise.

I build digital products with strong architecture, clean interfaces and the technical depth to survive real-world use.

Core
.NET / Next.js
Focus
SaaS / Platforms
Strength
Architecture / Product

01 / Selected work

Products with real workflows behind the interface.

01 / European softwareLive

Live / Production

Staky

A platform that helps Danish companies discover European alternatives, build an EU software stack, connect with verified migration partners and manage the move in one workspace.

EU alternativesMigrationPartnersWorkspace
Visit live product
staky.dkMigration workspace

Stack replacement map

Switch the stack.
Keep control.

GitHub→Forgejo
AWS→OVHcloud
Google Drive→Nextcloud
Slack→Mattermost
Migration progress64%
Matched partnerVerified migration expert
Connected
Current stageData & configuration
In progress
NextValidation & handover
Queued
European stack migration
02 / Mobile top-upLive

Live / Production

PayWatan

A mobile-first service for people in Europe to send airtime and internet packages to Afghanistan through operator detection, secure payment and instant delivery.

AirtimeDataPaymentsAfghanistan
Visit live product
paywatan.comTop-up flow
PayWatan

Send mobile data home.

+93 7XX XXX XXX

Operator detected

5 GB10 GB20 GBAirtime

Four steps.
No friction.

01Number✓
02Operator✓
03Package✓
04Pay & send→
Mobile top-up / Afghanistan
03 / Survey infrastructureNordic

70–75% built / In development

A Survey

A Nordic-first, multi-tenant survey platform for municipalities, HR teams, researchers and companies—with EU data residency, four languages and WCAG 2.2 guardrails built into the product.

Next.jsTypeScriptPrismaPostgreSQLSupabaseWCAG 2.2
Product in development
workspace.asurvey.dk/appSurvey builder
Question 12 / 65 typesAPV / Trivselsmåling

How supported do you feel by your immediate manager?

Very supported●
Supported○
Neutral○
Not supported○
Survey infrastructure / Nordic
04 / Engineering depthProduction systems

Beyond the UI

The production systems underneath the interface: identity, permissions, billing, data, APIs, AI / LLM workflows, queues, integrations, testing, infrastructure and deployment.

.NETSQLArchitectureAI / LLM
Explore capabilities
System architectureProduction

Systems that survive real use.

Identity & permissions01
Billing & payments02
APIs & integrations03
AI / LLM workflows04
Queues & background processing05
Data & tenant isolation06
Testing / infrastructure / deployment07
Product
core
InterfaceServicesDataOpsAI / LLM
Architecture beyond the interface
Proof / 01
SeniorProduct engineering
Proof / 02
3Products built / actively developed
Proof / 03
Nordic / EUPrimary market
Proof / 04
End to endArchitecture · product · production

02 / Skills

Full-stack, but with real system depth.

Primary capability

Product
Engineering

01

Backend

C#, ASP.NET Core, REST APIs, authentication, authorization, background jobs and integrations.

02

Frontend

Next.js, React, TypeScript, responsive application UI, complex workflows and design systems.

03

Data

PostgreSQL, SQL Server, Prisma, EF Core, relational modelling, performance and tenant isolation.

04

Architecture

SaaS architecture, multi-tenancy, permissions, billing, integrations and production systems.

Secondary technical competency

Prompt & Context Engineering

System instructions, reusable context structures, constrained outputs and multi-step model workflows designed for predictable product behaviour.

03 / AI Engineering

AI that becomes part of the product.

I use language models as engineering tools and product capabilities—from Claude Code workflows to production integrations with the Claude API.

Application pipeline

01
User intent
02
Context
03
System instructions
04
Claude API
05
Structured output
06
Application logic
07
User experience
  1. 01Capability

    Prompt & Context Engineering

    Designing instructions and context so model behaviour stays useful, predictable and aligned with the product workflow.

    • System prompt design
    • Context engineering
    • Reusable prompt structures
    • Structured outputs
    • Output constraints
    • Multi-step prompt flows
    • Guardrails
  2. 02Capability

    LLM Integration

    Connecting language models to real application logic rather than treating AI as a standalone chat interface.

    • Claude API
    • Server-side integration
    • Streaming
    • Structured responses
    • Application workflows
    • Error handling
    • AI features inside existing products
  3. 03Capability

    AI-Assisted Engineering

    Using AI as an engineering collaborator while keeping architectural decisions, validation and production responsibility human-controlled.

    • Claude Code
    • Codebase exploration
    • Implementation planning
    • Debugging
    • Refactoring
    • Test generation
    • Documentation
    • Architecture analysis
  4. 04Capability

    Product AI

    Building AI features where the model helps the user complete a real task rather than adding AI simply because it is available.

    • Generation
    • Summarisation
    • Recommendations
    • Workflow automation
    • AI-assisted creation
    • Editable AI output

Product example

AI-assisted survey creation

A structured creation flow for A Survey: the model proposes a useful starting point while the survey owner stays in control.

A Survey / AI creation doorAssist → review → edit

Input

Goal
Workplace assessment
Audience
Employees
Language
Danish
Privacy
Confidential

AI plan

  1. 01Working environment
  2. 02Management
  3. 03Wellbeing
  4. 04Workload
  5. 05Open feedback

Editable survey draft

Draft
Q1I have the support I need to do my work well.EDIT
Q2My immediate manager communicates priorities clearly.EDIT
Q3My workload is manageable within normal working hours.EDIT

AI prepares the structure and first draft. The user reviews, changes and owns every question before distribution.

04 / Tools

The stack behind the products.

A production-focused mix of application, data, AI integration, infrastructure and testing tools—shown with local technology marks instead of generic badges.

.NET logo

.NET

Backend

C# logo

C#

Language

Next.js logo

Next.js

Web platform

TypeScript logo

TypeScript

Language

React logo

React

Frontend

PostgreSQL logo

PostgreSQL

Database

Supabase logo

Supabase

Data platform

Prisma logo

Prisma

ORM

Redis logo

Redis

Cache

Docker logo

Docker

Infrastructure

Git logo

Git

Version control

Tailwind CSS logo

Tailwind CSS

Interface

Playwright logo

Playwright

Testing

Claude logo

Claude

AI / LLM

Claude Code logo

Claude Code

Engineering workflow

Anthropic API logo

Anthropic API

AI integration

Application / Data / AI / Infrastructure / QualityPause to inspect

05 / Solutions

What I can build for a business.

{ }

01 / SaaS

SaaS Platforms

Subscriptions, workspaces, roles, workflows, analytics and production-ready multi-tenant architecture.

↗

02 / Product

Digital Products

From initial product thinking to a finished web application ready for customers and real-world use.

API

03 / Systems

Business Systems

Internal tools, automation, integrations and APIs that remove repetitive work and connect operations.

06 / About

Engineering with product judgement.

I turn complicated business problems into software that feels simple to use.

I care about product quality as much as code quality. That means understanding the business, making strong technical decisions and owning the result all the way to production.

I like working on products where engineering has a visible impact—reducing complexity, removing repetitive work and making something difficult feel straightforward.

For me, good software is not about using the most technology. It is about choosing the right technology, building a strong foundation and creating something people can rely on.

Experience
Senior product engineering
Focus
Web / SaaS
Market
Nordic / EU
Work
Remote / Collaborative

07 / Process

How we’d work together.

A clear process, direct communication and no unnecessary layers.

  1. 01

    Understand

    We start with the problem, users and business constraints—before discussing frameworks or architecture.

  2. 02

    Shape

    I turn the requirements into a practical product and technical direction: scope, flows, architecture and priorities.

  3. 03

    Build

    Implementation happens in small, reviewable steps with working software visible early rather than hidden until the end.

  4. 04

    Ship & improve

    After production launch, we measure what matters, fix what does not work and continue improving the product.

08 / Contact

Have aseriousidea?

Let's build it properly.