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Advanced CRM Architecture & Revenue Operations Automation GoHighLevel (GHL) Expert & Solutions Architect
Engineered end-to-end CRM architecture and marketing automation infrastructure utilizing GoHighLevel to scale business operations, optimize sales pipelines, and maximize lead conversion. Focused on building highly technical, dynamic workflows that extend beyond standard GHL templates by implementing advanced custom code, deep API integrations, and complex data-routing logic.
Technical Architecture & Core Implementations:
Custom Webhooks & Custom Code Execution: Built complex automation paths by embedding custom JavaScript/Node.js snippets directly into workflow actions to format data, calculate dynamic commission structures, or parse complex JSON payloads prior to external delivery.
Deep API Integrations & Database Syncing: Developed seamless asynchronous data pipelines leveraging the GHL V2 API to dynamically sync contact records, custom fields, and financial opportunity data with external databases and custom applications.
Advanced Custom Values & Fields Management: Structured scalable sub-account snapshots using highly organized custom values and variables, allowing for programmatic, sitewide content updates across multiple funnels, email sequences, and SMS scripts instantly.
Sophisticated Conditional Routing & Pipelines: Architected multi-stage sales funnels and workflows using complex conditional logic (If/Else branches), trigger links, and custom tags to automate lead distribution, automated appointment setting, and instant speed-to-lead execution.
Membership & SaaS Mode Infrastructure: Configured comprehensive sub-account snapshots, customized client onboarding workflows, and managed white-labeled SaaS mode billing engines linked with complex Stripe payment gateways.
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?
Hey Contra 👋 I've been heads-down building Promptly, and I'd love your eyes on it before our launch.
From my time delivering over 20 software projects as a tech lead, I realized the biggest bottleneck in building an app isn't the code itself. It is communication. Founders speak in ideas, and developers speak in strict logic.
Here is how Promptly works. You just describe your app idea in plain English. The AI actually pushes back, asks the hard questions, catches the vague bits, and automatically writes a developer-ready blueprint as you chat.
The goal is simple. When you hand this document to a developer, the next thing you get back is an accurate, fixed-price quote. No more wasting days trying to draft technical specifications and sitting through endless rounds of discovery calls just to get on the same page.
Instead of staring at a blank document, you get three tools that update in real-time:
The Pushback Chat: It refuses to just nod along. If you say "make it fast and secure," it helps you define exactly what that means. It hunts down edge cases before you ever pay someone to fix them.
The Visual Map: A live, interactive diagram showing exactly how your features connect. It catches logic flaws and missing steps before any code is written.
The Living Blueprint: An auto-generated, professional project spec that exports straight to Notion, Linear, or PDF.
Plus, it gives your idea a "Developer-Readiness Score" out of 100 so you know if it is actually ready to build. It even recommends the best tech stack based on your specific budget and complexity.
The core engine and all of these interactive features are fully functional right now, but I am still smoothing out the final rough edges. I am aiming for a public launch in about three weeks.
Where I need your help. I have three quick questions:
Where would you want to export your project blueprint, beyond Notion, Linear, or PDF?
What is the biggest headache you face right now when trying to explain your ideas to developers?
What feels missing? The blind spots are the most valuable to me right now.
Any feedback on new features, improvements, or things I should kill entirely would be hugely appreciated. Drop a comment below.
Thank you for taking a look 🙏
building solo, in public
Product ManagementFull Stack DevelopmentSoftware DevelopmentWeb DevelopmentAI DevelopmentClaudeNext.jsFigma
This is a very interesting concept! Where did you design the UI/UX? I feel like a better choice of font is still out there. Overall good work and clean UI. 🔥
Automated Multi-Agent AI Support & Lead Triage Pipeline
Are your high-ticket clients waiting hours for an email response? This intelligent multi-agent n8n workflow instantly screens, analyzes, and responds to customer emails in real-time, utilizing advanced RAG (Retrieval-Augmented Generation) to deliver human-like support instantly.
Project Overview:
This is an enterprise-grade AI automation system designed to eliminate manual customer support queues. Instead of simple auto-replies, it uses a multi-agent routing structure combined with a dynamic knowledge base to handle complex inquiries autonomously.
How It Works (Under the Hood):
Instant Inbound Triage: A Gmail Trigger catches incoming emails instantly, extracting raw content for processing.
AI Intent Classification: An initial OpenAI model acts as a gatekeeper, analyzing the email to determine if it is a valid customer support request or irrelevant noise.
Conditional Routing: An advanced router splits the path: non-support emails receive a polite automated Telegram update, while actual support tickets are routed to the main AI engine.
Context-Aware AI Agent: The core Customer Support Agent is equipped with an OpenAI Chat Model, conversational memory, and a custom Vector Store Tool.
Pinecone RAG Integration: The agent queries a Pinecone Vector Database (powered by OpenAI Text Embeddings) to fetch real-time, accurate company documentation and context, eliminating hallucinations.
Automated Action & Response: Once the resolution is drafted, the system automatically creates a draft in Gmail for review and sends an instant internal notification via Telegram.
Why This Wins Clients (The Value Pitch):
Zero Hallucinations: Connected to a live vector database (Pinecone) so the AI only speaks from approved company data.
Reduced Overhead: Cuts down customer support response times from hours to under 60 seconds.
Production-Ready Architecture: Designed with modern n8n AI sub-nodes, structured tools, and modular scaling capabilities.
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