You will get a Custom AI Copilot, Agent, or Automation System
Rising Talent
Rising Talent
Project details
I build production-grade Generative AI systems that go far beyond simple chatbots. My projects focus on real business impact: custom AI agents, intelligent copilots, automated workflows, and RAG pipelines that integrate directly into your tools and daily operations.
What sets my work apart is the combination of AI engineering + system architecture + automation expertise. Most freelancers specialize in only one area. I design the full stack — from LLM logic and retrieval pipelines to backend services, integrations, and deployment. You’re not getting a prototype; you’re getting a reliable, scalable AI system built to run in production.
Each project is tailored to your workflow and includes clean engineering, strong documentation, and seamless integration with CRMs, ERPs, SaaS tools, APIs, and internal systems. Whether you need an AI copilot, a multi-agent system, a custom GPT tool, or an automation engine, I deliver solutions that reduce manual work, speed up decision-making, and modernize your operations.
If you want an AI system built with real technical depth — not a surface-level chatbot — this project is for you.
What sets my work apart is the combination of AI engineering + system architecture + automation expertise. Most freelancers specialize in only one area. I design the full stack — from LLM logic and retrieval pipelines to backend services, integrations, and deployment. You’re not getting a prototype; you’re getting a reliable, scalable AI system built to run in production.
Each project is tailored to your workflow and includes clean engineering, strong documentation, and seamless integration with CRMs, ERPs, SaaS tools, APIs, and internal systems. Whether you need an AI copilot, a multi-agent system, a custom GPT tool, or an automation engine, I deliver solutions that reduce manual work, speed up decision-making, and modernize your operations.
If you want an AI system built with real technical depth — not a surface-level chatbot — this project is for you.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Azure Machine Learning, deeplearn.js, Deeplearning4j, Google AutoML, MLflow, NVIDIA AI Platform, PyBrain, PyTorch, Sonnet, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$175
|
Standard
$650
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 3 days | 8 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
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About Raja Zohaib
B2B SaaS Copywriter & Content Strategist | Product Messaging | SEO
100%
Job Success
Rawalpindi, Pakistan - 9:57 pm local time
The prospect booked, but they're still not sure the product is for them. The rep spends the first 20 minutes on context your website should have created. By the time you get to fit, urgency, and close, you've already lost momentum.
That's a content problem. And it's the one I fix.
I rebuild the explanation layer across your website copy, product messaging, use-case content, and BOFU content, around how your product actually works, so buyers arrive at demos already sold on fit, not still figuring out whether your product is for them.
This is not content marketing for the sake of publishing. It's a B2B SaaS messaging and content system built from your best product explanation and deployed across every page a buyer touches before they book.
Who this is for
Most B2B SaaS companies between $500K and $10M ARR have the same problem, even if they describe it differently.
Strong product. Real demand. Qualified pipeline. But demo calls that keep starting with the same basic education that should have happened before anyone booked. Sales reps re-explaining what the product does instead of talking about fit, timeline, and next steps. Conversion rates lower than they should be, not because the product is wrong, but because the message isn't carrying its weight.
The version of this that works looks different. Buyers arrive already clear on what the product does, whether it fits their workflow, and why it matters for them. The rep doesn't rebuild context. They don't re-explain the use case. They open on fit, move to implementation, and close. That's not a content upgrade. It's what happens when the explanation layer is rebuilt from scratch.
Results
→ 50.8K organic clicks in 3 months · 2.13M impressions · 2,129 ranked keywords
→ Ranked #1 on Google for "CPU vs GPU for AI" · Content cited by Claude AI alongside IBM
→ 301K impressions from zero in 90 days · 7.1K clicks · 47 top-3 keyword positions
→ Organic search outperformed direct, referral, paid, social, and email combined
(All results delivered under client brands)
What we build together
· Website copy and homepage messaging
· Product and feature page copy
· Use-case pages and BOFU content
· Landing pages and conversion copy
· Pre-demo and workflow content
· SEO content and AI visibility content
· B2B SaaS positioning and messaging foundation
· Technical content for AI, developer, and enterprise products
· Content strategy and editorial direction
Who I work best with
SaaS founders, heads of marketing, and GTM leads at technical B2B companies who need a senior content and messaging partner, not a writer waiting for a brief.
If this sounds like your situation
Send me a message with your website and a quick note on where the message feels like it's breaking down. I'll tell you directly whether I can help and what I'd look at first.
Steps for completing your project
After purchasing the project, send requirements so Raja Zohaib can start the project.
Delivery time starts when Raja Zohaib receives requirements from you.
Raja Zohaib works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review & Clarification
I review your use case, data, tools, and goals. If needed, I ask 1–2 clarifying questions to ensure perfect alignment.
System Blueprint & Architecture Plan
You receive a concise architecture outline describing the AI agent/copilot workflow, integrations, RAG structure (if applicable), and deployment plan.