Rashid Khabeer
Full-Stack Agentic AI Dev | n8n • Make • GHL Automation
New to Contra
Rashid is ready for their next project!
“My pipeline is empty.”
A founder told me this last week.
He was spending hours finding leads and sending cold messages…
Still nothing.
So we built a simple n8n system. Now it finds leads and sends personalized outreach automatically.
3 days later, he said:
“I’m getting replies every day.” Same effort. Better system.
Want it? Comment “SYSTEM”.
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From Prompt to Product: Building "Nexus" with Claude & Stitch ⚡️
The 'Developer Experience' is changing. I wanted to see how fast I could go from a blank page to a high-fidelity prototype using a pure AI stack.
Meet Nexus an intelligent dashboard designed to automate the 'boring' parts of freelancing.
1- Architecture: I used Claude AI to map out the relational database and business logic.
2- UI/UX: Generated the entire design system via Stitch, focusing on a 'Dark Mode' glassmorphism aesthetic.
The result? A functional-feeling prototype in a fraction of the traditional dev time. The future of building is here. 🚀
#BuildInPublic #AI #SaaS #Contra
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Is your HR inbox a time-consuming "black hole" 🕳️?
I watched an HR team struggle to stay afloat while buried under a mountain of PTO requests, payroll glitches, and login issues. The "human" was being taken out of Human Resources by endless manual triage.
So, I built an AI Orchestrator to give them their time back.
Using n8n as the nervous system and GPT-4.1 as the brain, I created a workflow that:
1- Categorizes Intent: Instantly identifies if a message is a simple question or a sensitive payroll crisis.
2-Verifies Identity: Cross-checks Airtable to validate employee records in milliseconds.
3- Routes & Resolves: Seamlessly pushes data to iSolved, triggers specialized sub-workflows, or escalates complex cases to Zendesk.
The Bottom Line: No more manual sorting. No more "lost" emails. Just instant, accurate routing that lets HR focus on supporting people, not managing tickets. 🚀
What’s one manual process in your business that feels like a "black hole" for time? 🕳️
#AI (https://www.linkedin.com/search/results/all/?keywords=%23ai&origin=HASH_TAG_FROM_FEED) #Automation (https://www.linkedin.com/search/results/all/?keywords=%23automation&origin=HASH_TAG_FROM_FEED) #FutureOfWork (https://www.linkedin.com/search/results/all/?keywords=%23futureofwork&origin=HASH_TAG_FROM_FEED) #HRTech (https://www.linkedin.com/search/results/all/?keywords=%23hrtech&origin=HASH_TAG_FROM_FEED) #n8n (https://www.linkedin.com/search/results/all/?keywords=%23n8n&origin=HASH_TAG_FROM_FEED) #Efficiency (https://www.linkedin.com/search/results/all/?keywords=%23efficiency&origin=HASH_TAG_FROM_FEED)
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Developed a comprehensive, end-to-end automation engine using n8n to replace slow, error-prone manual profit margin calculations with real-time, data-driven visibility. The system synchronizes order data across ShipStation, BigCommerce, and major marketplaces like Amazon and Walmart, integrating complex logic for item-level costs, multi-currency conversions (via Frankfurter API), and customer-specific discounts within Airtable. This automation reduced processing time to seconds per order and eliminated manual entry errors. Key strategic features include a low-margin detection system with an integrated team review workflow, automated management reporting, and a robust architecture handling deduplication and missing data fallbacks. The solution provides immediate, reliable profitability insights for pricing and operational decision-making.
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The MCAT King of the Curve project is a sophisticated RAG-based (Retrieval-Augmented Generation) backend designed to revolutionize how medical students interact with vast amounts of unstructured study data. Built using Python and OpenAI, the system addresses the challenge of static, overwhelming notes by allowing users to upload diverse file formats—including PDFs, Excel, and images—and transform them into a searchable, interactive knowledge base. By utilizing ChromaDB for vector embeddings and semantic search, the platform provides highly accurate, source-grounded answers in under three seconds, effectively eliminating AI hallucinations. Beyond simple Q&A, the backend features a specialized "Classroom Mode" that auto-generates MCAT-style questions across varying difficulty levels, offering a gamified, scalable, and secure environment that prioritizes data isolation and high-performance reliability for high-stakes exam preparation.
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Built JuvaBun, an AI-powered sales chatbot for a hair extensions e-commerce site, designed to automate customer conversations and drive conversions. The bot answers product questions, asks guided follow-ups, and recommends products based on hair type, budget, and user intent. Integrated rich product content including images, videos, reviews, and comparisons to reduce buyer hesitation. Implemented checkout link sharing, abandoned-chat follow-ups, and upsell flows for higher-value bundles. Designed the system with intent detection, fallback handling, and conversation recovery to avoid dead ends, improving engagement while reducing manual sales effort.
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I optimized this GoHighLevel (GHL) CRM to transform lead management into a high-conversion sales engine. I built a custom multi-stage pipeline from MQL to Scope Approved to ensure zero lead leakage.
Key Deliverables:
1- Pipeline Architecture: Structured stages for clear sales visibility.
2- Lead Tracking: Integrated source tracking (Organic/Forms) to measure ROI.
3- Revenue Monitoring: Real-time dashboard showing $4,000+ individual deal values.
4- Efficiency: Streamlined 170+ opportunities for faster follow-ups and higher closing rates.
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