You will get AI-Powered Full SaaS Platform Development
Project details
Most SaaS products bolt AI onto a finished app as a chat widget in the corner. I build it into the core product instead, so the AI does real work inside your main workflow, not a side feature nobody opens twice.
This comes from production experience. A hospital platform I built runs role based portals for doctors, receptionists, and admins, with AI automating scheduling and documentation inside the daily workflow, kept secure and auditable. A content platform I built runs multi stage AI pipelines as real background jobs, with honest error handling instead of a fake result.
Starter gets a SaaS MVP with one AI feature, auth, and a simple dashboard. Standard adds a multi role app where AI automates a real task, on a billing ready backend. Advanced is a full AI native platform: coordinated agents, secure role based APIs, an admin panel, analytics, and architecture built to scale.
Every tier includes source code and documentation of what the AI automates versus what stays manual.
I start by asking what workflow the AI should own, which decisions need a human, and what your first release must prove.
If you want AI that does real work inside your SaaS, let us scope it out.
This comes from production experience. A hospital platform I built runs role based portals for doctors, receptionists, and admins, with AI automating scheduling and documentation inside the daily workflow, kept secure and auditable. A content platform I built runs multi stage AI pipelines as real background jobs, with honest error handling instead of a fake result.
Starter gets a SaaS MVP with one AI feature, auth, and a simple dashboard. Standard adds a multi role app where AI automates a real task, on a billing ready backend. Advanced is a full AI native platform: coordinated agents, secure role based APIs, an admin panel, analytics, and architecture built to scale.
Every tier includes source code and documentation of what the AI automates versus what stays manual.
I start by asking what workflow the AI should own, which decisions need a human, and what your first release must prove.
If you want AI that does real work inside your SaaS, let us scope it out.
Programming Languages
HTML & CSS, Python, TypeScriptCoding Expertise
Cross Browser & Device CompatibilityWhat's included
| Service Tiers |
Starter
$450
|
Standard
$1,100
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 1 day |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Pages | 3 | 6 | 16 |
Design Customization | - | ||
Content Upload | - | ||
Responsive Design | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$120 - $150
Additional Page
(+ 1 Day)
+$50
Design Customization
(+ 1 Day)
+$100About Asad Ullah
Full Stack AI Engineer specializing in LLMs, AI Agents, RAG Systems
Islamabad, Pakistan - 5:10 am local time
I specialize in building AI agents, Retrieval-Augmented Generation (RAG) systems, and intelligent workflow automation using modern LLM frameworks. My focus is on delivering solutions that are reliable, maintainable, and aligned with real business needs—not just impressive demos.
What I Can Help You Build
• AI Agents & Multi-Agent Systems
• RAG Chatbots & Knowledge Assistants
• Custom LLM Applications (OpenAI, Gemini, Claude)
• AI Workflow Automation
• FastAPI Backend Development
• Vector Database Integration (Pinecone, ChromaDB, FAISS)
• Prompt Engineering & AI Evaluation
• REST API Integration & Full-Stack AI Solutions
Technologies I Work With
Languages: Python, TypeScript, JavaScript
AI & LLM: OpenAI, Gemini, Claude, LangChain, LangGraph, Mastra, MCP, RAG
Backend: FastAPI, Flask, REST APIs
Databases: PostgreSQL, ChromaDB, Pinecone, FAISS
Infrastructure: Docker, Git, AWS, Google Cloud
Experience
I'm currently working as an AI Engineer, where I develop production AI workflows for healthcare applications, including AI-powered medical triage, doctor recommendation systems, and appointment automation. My work emphasizes secure architectures, accurate retrieval, human-in-the-loop validation, and scalable AI systems.
Beyond healthcare, I have experience developing computer vision applications, generative AI solutions, NLP systems, and research-driven AI products, giving me the ability to solve a wide range of AI engineering challenges.
Why Clients Work With Me
• Production-focused engineering—not proof-of-concept code
• Clean, maintainable, and well-documented solutions
• Clear communication throughout the project
• Reliable delivery with long-term scalability in mind
• Strong understanding of both AI models and software engineering
Whether you're a startup building your first AI product or an established business integrating AI into existing workflows, I can help turn your idea into a reliable production solution.
Let's discuss your project and build something that creates real business value.
Steps for completing your project
After purchasing the project, send requirements so Asad Ullah can start the project.
Delivery time starts when Asad Ullah receives requirements from you.
Asad Ullah works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery and Scoping
I review your product idea, target users, and which workflow the AI should own. We confirm scope and success criteria together before development starts.
Architecture and Data Model
I design the SaaS data model, auth and roles, and where the AI workflow plugs into the core product. You confirm the approach before I start building.