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QYRAGY GmbH

100% Remote / Hannover

CTO & Chief Product Owner for AI Matching Platform

Chief Technology Officer & Chief Product Owner

July 2020 - April 2023
2 years 11 months
Full-time
Product work
100% Remote / Hannover

Relevance

Why this case matters

This framing makes the decision signal explicit: impact, proof, fit, and AI / delivery relevance for hiring or collaboration.

System impact

Built an AI-powered matching platform from 0 to 1 and combined product, technology, and team design inside an early-stage startup.

AI / delivery relevance

Put AI into the product core early instead of treating it as a thin prompt layer on top.

0→1AI matchingProduct + techStartup build

Proof

0→1

platform built

AI matching

k-Means + NLP

PWA + AWS

scalable base

Especially relevant for

  • Hiring
  • Fractional
  • Startup CTO
  • AI-native systems craft

Case context

Overview

Smartjobr started as an AI-powered freelancer matching platform that had to move from first product model to real delivery. I connected matching logic, technical architecture, and team building in an early-stage startup with fast learning loops, product-market fit work, and direct delivery pressure.

The platform uses k-Means algorithm and NLP for matching between freelancers and projects. Next.js/PWA, AWS infrastructure, and automated BI dashboards connected product usage, technical foundation, and data-informed decisions.

Responsibility

Activities

  • Startup CTO & CPO: Product strategy, technical direction, and team building across engineering, design, and marketing
  • AI matching platform: k-Means algorithm, NLP, intelligent freelancer-project matching
  • Next.js/PWA development: Cross-platform user experience, web & Android app
  • AWS infrastructure: Lambda, S3, RDS, SQS, CloudFront for scalable architecture
  • BI & automation: Dashboard development, Slack bot, automated KPI reporting
  • Product strategy: Customer feedback, user experience, and learning loops
  • Security & privacy: Data protection compliance, secure infrastructure monitoring
  • Team leadership: Agile development, cross-functional collaboration, technology selection

Operating mode

Methodology

  • Agile development: Scrum, Kanban, cross-functional teams
  • Product management: Customer feedback, user experience, market validation
  • Startup methodology: Rapid iteration, MVP-first, product-market fit
  • AI/ML integration: Data-driven matching, algorithm optimization
  • DevOps: AWS infrastructure, automated deployments, monitoring

Technical context

Technology stack

The tools are not the point by themselves. What matters is which system layers had to work together.

6Areas
23Technologies

Frontend

5
Next.jsReactTypeScriptJavaScriptPWA

Backend

3
Node.jsPythonFirebase

Data & AI

3
k-Means algorithmNatural Language Processing (NLP)PostgreSQL

DevOps

5
AWS LambdaAWS S3AWS RDSAWS SQSAWS CloudFront

Mobile

2
Android SDKiOS

Tools

5
SlackJiran8nZapierConfluence

Next step

If you want to explore similar leverage for hiring, collaboration, or a concrete transformation, this is the right starting point.

Send a short note about the situation you are trying to assess. I reply personally and will be direct about fit.