You will get AI chatbot, RAG search, or Multi-agent workflow added to your existing SaaS
Top Rated
Project details
You'll get a working AI feature shipped into your existing SaaS, not a demo, not a thin wrapper around ChatGPT. Chat, RAG search, or agentic tool use, deployed and integrated with your auth, your data, and your UI.
This is the work I do day to day on Mavera, where I built the Mave agent (streaming tool use on the Vercel AI SDK and GPT-5) and on Lunaria, where I shipped Graph RAG over SurrealDB with cited answers grounded in customer documents. Same patterns, applied to your codebase.
I work across OpenAI, Anthropic Claude, Google Gemini, the Vercel AI SDK, and LangChain or LangGraph, plus Pinecone, pgvector, or SurrealDB for retrieval. Streaming, prompt caching, and basic eval harnesses are part of every build, not extras, so you don't ship a feature you can't measure.
You get a live demo link from day three, a kickoff call to scope the use case before I touch your repo, and a short readme so your team can extend the AI work after handoff.
This is the work I do day to day on Mavera, where I built the Mave agent (streaming tool use on the Vercel AI SDK and GPT-5) and on Lunaria, where I shipped Graph RAG over SurrealDB with cited answers grounded in customer documents. Same patterns, applied to your codebase.
I work across OpenAI, Anthropic Claude, Google Gemini, the Vercel AI SDK, and LangChain or LangGraph, plus Pinecone, pgvector, or SurrealDB for retrieval. Streaming, prompt caching, and basic eval harnesses are part of every build, not extras, so you don't ship a feature you can't measure.
You get a live demo link from day three, a kickoff call to scope the use case before I touch your repo, and a short readme so your team can extend the AI work after handoff.
Programming Languages
JavaScript, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$199
|
Standard
$599
|
Advanced
$1,099
|
|---|---|---|---|
| Delivery Time | 3 days | 10 days | 12 days |
Number of Revisions | 1 | 1 | 0 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - |
Frequently asked questions
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MA
Mujtaba A.
Apr 7, 2026
MERN Stack Developer — Typeform + Admin Dashboard (1–3 Day Turnaround)
GB
Gilad B.
Feb 24, 2026
Develop AI Customer Service Agents in Eleven Labs
Abdul is a professional and detail-oriented individual, an excellent communicator, and consistently provides thorough documentation and clear walkthroughs of his solutions.
AD
Adam D.
Dec 23, 2025
Fullstack
Working with Hanan has been a great experience. He pays attention to details, follows instructions closely yet is proactive, he understands business logic, and is great at communication.
I'm looking forward to working with him again, and definitely recommend his services, thanks Hanan
I'm looking forward to working with him again, and definitely recommend his services, thanks Hanan
AD
Adam D.
Dec 4, 2024
Saas solution development
About Abdul
Full Stack AI Developer | SaaS Apps | LLMs | RAG | Agentic Workflows
100%
Job Success
Jhelum, Pakistan - 4:34 pm local time
5 years specialized in AI-powered products: a multi-tenant B2B SaaS platform processing live production workflows for a funded company; a document generation system with batch PDF output and visual template editing; a 10-node AI voice agent handling calls end-to-end at $0.27/call. I measure my work by uptime, latency, and user retention — because "it works on my machine" isn't engineering.
What I deliver:
Full stack SaaS builds (MVP to production) with React, Next.js, Node.js
RAG pipelines and LLM integrations (OpenAI, Claude, LangChain, Mastra AI)
Agentic workflows and multi-step automation
API design, third-party integrations, and scalable backend architecture
Top Rated on Upwork. Clear scoping, async-friendly, systems that run without hand-holding.
Steps for completing your project
After purchasing the project, send requirements so Abdul can start the project.
Delivery time starts when Abdul receives requirements from you.
Abdul works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff call and use case scoping
30 minute call to pin down what 'AI feature' means for your users, what data the model needs, and what success looks like. Locks scope before any tokens are spent.
Data and integration setup
Wire up the AI provider (OpenAI, Anthropic, Gemini), connect to your data source, set up the vector store if it's RAG, and add basic observability so we can see what the model is doing.