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Developed an end-to-end test automation framework using Playwright and TypeScript. Automated login, product purchase, and checkout workflows with cross-browser testing support and detailed reporting.
Quality Assurance EngineeringQuality Assurance TestingPlaywrightNode.jsVisual Studio CodeAI Automation
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Most lending businesses run on email threads, spreadsheets, and disconnected SaaS tools duct-taped together. That's where SBA Loans HQ started.
Brokers losing deals in their inbox. No pipeline visibility. Critical business logic living inside Zapier. Six months later, none of that was true anymore.
We built a full platform from scratch — four user roles, a Kanban deal pipeline, automated document bundles, in-platform messaging, and a live analytics dashboard for leadership. Document collection that used to take days of back-and-forth now closes in hours.
AWS Textract pulls structured data from financial PDFs in seconds instead of 30 minutes. A multi-agent AI layer handles lead scoring, deal prioritization, and document analysis — brokers see which deals are worth their time without reviewing everything by hand. Every third-party automation connector was replaced with a backend engine built in-house.
$33M+ in loans approved. 50+ lenders onboarded. 60% reduction in operational overhead. Six months, start to production.
Stack: Next.js, Django, PostgreSQL, AWS, Multi-Agent AI, Textract, DocuSeal.
Congrats 🔥 Where'd you design your UI/UX?
AI-Powered B2B E-commerce Lookbook Generator
As an E-commerce specialist, I often see retail brands struggling to create high-end, "Retail Ready" lifestyle imagery for national buyers quickly. I built this Melius workflow to solve that. It’s an automated canvas that takes raw product images, processes them through specialized AI agents with tailored prompts, and outputs publication-grade B2B lookbook assets in minutes instead of weeks.
My Process Steps:
Input Node: Uploaded base product layouts (e.g., sustainable retail packaging).
Melius Agent Prompting: Configured a creative agent to analyze the asset and apply a high-end, editorial lifestyle background with strict whitespace rules.
Refinement Node: Passed the generated output through an upscaling and color-grading node to match national retail compliance and premium aesthetics.
Feedback on Melius:
Melius completely turns the thrash of traditional prompt-and-pray AI workflows into a structured visual canvas. Being able to see the node-by-node execution allowed me to tweak specific parameters instantly without losing the design direction. The speed at which it generates production-ready imagery is a game-changer for digital marketers and agency owners!
Wow this looks neat and premium! Did you design this using Melius?
Functional QA Testing & Negative Test Case Suite for Web Applications
This project showcases the planning and structuring of a functional Quality Assurance (QA) testing suite, focusing on both positive and negative test scenarios for user input validation. For this matrix, I designed comprehensive test cases to validate form fields (such as Name, Last Name, and Email inputs) on a web interface across multiple browsers, including Google Chrome and Mozilla Firefox on Windows 10.
Each documented test case clearly outlines the product URL, targeted platform environments, strict pre conditions, step by step execution workflows, and precise expected results. By intentionally writing negative test cases to handle incorrect data formats, I help development teams identify vulnerabilities, handle errors gracefully, and deliver a seamless, secure, and bug-free user experience.
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