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Licensing is one of those backend systems that users rarely think about until something breaks. If a license fails, a product activation is blocked, or a deployment goes wrong, the support team needs clear visibility fast.
This project focused on building the backend control layer behind a software product. The platform handled product activations, license validation, entitlement checks, customer access, device history, deployment status, API activity, and system audit logs from one internal admin dashboard.
I built the system with reliability in mind: clear API logic, structured license records, searchable logs, deployment tracking, environment health checks, and automation tools for recurring backend operations. The dashboard gave administrators a practical way to see what was active, what failed, and what needed attention without digging through disconnected tools or server logs.
The result was a more dependable operations system for managing licenses, deployments, access control, and backend support workflows with better visibility and less manual troubleshooting.
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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Full-Stack SaaS Analytics Dashboard with Next.js, Node.js, and Supabase
This is a full-stack SaaS-style analytics dashboard built with React/Next.js on the frontend, Node.js on the backend, and Supabase for database management and backend services. The application includes a modern responsive interface, sidebar navigation, KPI cards, revenue analytics, sales performance views, marketing insights, charts, tables, and business reporting sections.
Tech Stack: React, Next.js, Node.js, Supabase, JavaScript/TypeScript, REST API, responsive UI components, database-driven dashboard architecture, and full-stack web application development.
The frontend was developed with a reusable component-based structure to keep the interface clean, scalable, and easy to maintain. The backend uses Node.js to handle API logic, server-side operations, and communication between the application and database. Supabase is used for structured data storage, authentication-ready architecture, and scalable database operations.
Overall, this project demonstrates my experience in building complete full-stack web applications, including frontend UI development, backend API integration, database management, analytics dashboard design, and scalable SaaS application architecture.
Building smarter backend systems for businesses using GoHighLevel.
Recently worked on setting up workflow automations, pipeline tracking, lead management, and business growth systems designed to help businesses operate more efficiently behind the scenes.
I’m becoming increasingly interested in the intersection between:
• CRM systems
• automations
• customer journeys
• AI workflows
• modern frontend experiences
A lot of businesses focus only on the website frontend, but the real growth often happens through the backend systems powering follow-ups, lead nurturing, and operations.
Currently exploring more advanced workflows involving automations, onboarding systems, customer segmentation, and AI-assisted processes.Just built this for a cleaning business
How We Map Repeated Business Work Before Building Automation
A service agency came to us with a familiar problem: their team was manually chasing clients for updates, following up on internal tasks, and losing hours every week to the same repetitive loop.
Most people jump straight to "automate it." We don't.
Step 1: Map the mess first.
We shadowed the actual workflow. Who sends what, when, and why. Turns out, 60% of the follow-ups existed because there was no shared visibility into task status. People were pinging each other just to figure out where things stood.
Step 2: Fix the process before adding tech.
We restructured the handoff points. Clear ownership at each stage. One source of truth for task status. No more "just checking in" messages clogging up Slack.
Step 3: Layer automation on top of a clean process.
Only after the workflow made sense on paper did we wire up automated status updates, reminders, and escalation triggers. The automation didn't replace the process. It enforced it.
The result:
Fewer manual follow-ups. Faster handoffs. The team stopped chasing and started executing. The client said it felt like they "hired two extra people" without adding headcount.
The takeaway: Automation built on a broken process just breaks faster. Map it first. Clean it up. Then automate what's left.
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