You will get AI agents, RAG, and OpenAI features Integrated Into Your Web App
Project details
Turn your web application into an AI-powered product with custom AI Agents, RAG (Retrieval-Augmented Generation), OpenAI integration, and intelligent automation workflows.
I help businesses, SaaS platforms, startups, and internal teams integrate AI capabilities that deliver real value not just another chatbot. Whether you need a custom AI assistant, knowledge base chatbot, document Q&A system, customer support agent, multi-agent workflow, or OpenAI-powered feature, I can build a solution tailored to your use case.
Services include:
• OpenAI, ChatGPT, GPT-4, and LLM integration
• RAG pipelines with vector databases
• AI Agents and autonomous workflows
• Document processing and knowledge base chatbots
• API integrations and custom AI features
• Multi-agent systems and tool calling
• Web app and SaaS AI implementation
You'll receive clean code, testing, documentation, and a solution designed around your business goals rather than a one-size-fits-all template.
Not sure which package fits your requirements? Send me a message before ordering, and I'll help you choose the most suitable solution for your project.
I help businesses, SaaS platforms, startups, and internal teams integrate AI capabilities that deliver real value not just another chatbot. Whether you need a custom AI assistant, knowledge base chatbot, document Q&A system, customer support agent, multi-agent workflow, or OpenAI-powered feature, I can build a solution tailored to your use case.
Services include:
• OpenAI, ChatGPT, GPT-4, and LLM integration
• RAG pipelines with vector databases
• AI Agents and autonomous workflows
• Document processing and knowledge base chatbots
• API integrations and custom AI features
• Multi-agent systems and tool calling
• Web app and SaaS AI implementation
You'll receive clean code, testing, documentation, and a solution designed around your business goals rather than a one-size-fits-all template.
Not sure which package fits your requirements? Send me a message before ordering, and I'll help you choose the most suitable solution for your project.
Machine Learning Tools
Azure Machine Learning, BERT, Databricks Platform, Databricks MLflow, NumPy, OpenCV, pandas, Python, PyTorch, Scrapy, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 2 | 5 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $200
Additional Revision
+$70
Additional Model Variation
(+ 1 Day)
+$50
Additional Scenario
(+ 1 Day)
+$50
Additional Graph/Chart
(+ 2 Days)
+$80
Model Documentation
(+ 1 Day)
+$79
Data Source Connectivity
(+ 1 Day)
+$100Frequently asked questions
5 reviews
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TM
Tom M.
Mar 21, 2023
ONE YEAR PROJECT - NODE.JS expert with tracing code to optimize API Response time MongoDB
Great developer, highly detailed. Will work again!
MK
MIchael K.
Feb 16, 2023
Node/React Developer
WC
Walter C.
Jun 8, 2022
React Developer
Thanks
EH
Edward H.
Dec 13, 2021
Full stack Developer Required immediately - GraphQL/Apollo, Next.Js/React (Typescript)
The position was not a good fit to him but he was a good dev. Will hire again.
RL
Robert L.
Mar 8, 2019
Full Stack Web Development, Need Pakistani Programmers
About Zaffar
Full-stack & AI Integration Dev |Next.js, Supabase, Golang, Claude API
Gilgit, Pakistan - 1:00 am local time
My core stack is Next.js, TypeScript, Supabase, and PostgreSQL on the product side. On the AI side I work with the Claude API and OpenAI to build things that hold up in real usage: RAG pipelines that retrieve from your actual data, AI agents that trigger real actions through tool calling, document processing systems, and conversational features embedded inside working SaaS products. For backend services that need real throughput I write in Golang. When teams have outgrown Node.js or need microservices that do not fall over under load, that is the part of the work I actually enjoy.
The most recent role on my profile is Senior AI Integration Expert at Proposala, where I built the AI layer for a B2B proposal automation platform. The core problem: sales teams were spending 45 to 60 minutes per proposal pulling product details, pricing, and compliance language by hand. I integrated Claude API to generate structured first-draft proposals from a short input, with output that mapped directly into their existing template format. Proposal generation time dropped to under eight minutes. That is the kind of problem I am good at: not adding AI for the sake of it, but finding the one place in a workflow where it cuts real time.
Before Proposala I spent five years as a Senior Full-Stack Engineer on Upwork, building products for clients across industries in React, Vue, Node.js, and PostgreSQL. Before that three years at uConnect building enterprise SaaS interfaces: a cloud cost management portal, a banking and HR platform, and a point-of-sale system. The full-stack side is not something I picked up to support AI work. It is the majority of my career.
What working with me looks like in practice: you give me a brief or a Figma file, I ask the questions that actually matter for scope, I give you a timeline that does not shift, and I ship. I document the code properly. If something breaks after handover I am reachable.
I work best on projects where one person needs to cover the whole product. Send me a message with what you are building and I will tell you within a few hours whether I can help and what the scope looks like.
Steps for completing your project
After purchasing the project, send requirements so Zaffar can start the project.
Delivery time starts when Zaffar receives requirements from you.
Zaffar works on your project following the steps below.
Revisions may occur after the delivery date.
Analyze Requirements & AI Workflow
Review your application architecture, use case, data sources, and business requirements to design the most suitable AI agent, RAG pipeline, or OpenAI integration strategy.
Develop & Integrate AI Solution
Build and integrate the AI agent, chatbot, RAG system, or LLM-powered functionality into your application, including API connections, retrieval workflows, and required automations.