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Fiverr Pro
Français
$
USD
Karl
@karl_karl56
Building Reliable Mult Step Automations that Scale
États-Unis
Anglais, Espagnol, Allemand
À propos de moi
Hi, I’m Karl I specialize in AI powered automation designed to help businesses save time, reduce errors, and scale efficiently. I work with platforms like Make.com, n8n, Zapier, and Claude Code to create multi step workflows, custom API integrations, and intelligent automation systems tailored to your needs.
My goal is to take the technical burden off your shoulders, delivering effective, reliable, and future proof solutions that allow you to focus on growth. Every project I handle includes expert design, testing, and documentation,ensuring your system runs smoothly like an app on any device
Compétences
Karl
hors ligne •
Voir mes services
Stratégie marketing digital
I will build scoreapp quiz funnel or scorecard for score app and lead generation setup
Automatisations et agents
I will fix make com automation zapier automation make automation make com automation
Expérience professionnelle
Media Optimization & CDN Hosting System Automation
Upwork • Freelance
Mar 2026 - Apr 2026 • 1 mo
This project involved building an advanced media processing and hosting workflow for a client managing large volumes of high resolution images within their database. The client faced challenges with slow website performance and manual image optimization, which was time consuming and inefficient. To address this, I developed a fully automated system using Make (formerly Integromat), with Airtable serving as the central database and Cloudinary handling media processing and hosting. The workflow is triggered whenever new images are added or updated in Airtable. Using iterators, the system breaks down multiple image uploads within a single record and processes each file individually. Each image is then sent to Cloudinary, where it is automatically optimized resized, compressed, and transformed for fast web delivery. Different processing branches were implemented using routers to handle various image categories such as product galleries, thumbnails, and banners. Each branch applies specific optimization rules tailored to its use case. After processing, an array aggregator collects all optimized image URLs and sends them back to Airtable, updating the original record with clean, fast loading CDN links. This automation eliminated the need for manual image handling, significantly improved website speed, and ensured consistent media optimization across the platform. It also provided a scalable solution capable of handling growing media demands without additional workload.
