You will get AI SaaS MVP or Production-Ready Web App Development
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Project details
I will build a production-ready AI SaaS MVP or web application that can support real users, real workflows, and real business use.
This project is ideal for founders, startups, agencies, and businesses that need more than a prototype. I can help turn your AI product idea, rough MVP, or existing app into a stable SaaS platform with authentication, dashboard, database structure, AI/LLM integration, Stripe payments, API integrations, deployment support, and clean source code.
The goal is to deliver a usable product foundation that is secure, scalable, maintainable, and ready for launch or further growth.
This project is ideal for founders, startups, agencies, and businesses that need more than a prototype. I can help turn your AI product idea, rough MVP, or existing app into a stable SaaS platform with authentication, dashboard, database structure, AI/LLM integration, Stripe payments, API integrations, deployment support, and clean source code.
The goal is to deliver a usable product foundation that is secure, scalable, maintainable, and ready for launch or further growth.
Programming Languages
JavaScript, Python, GoCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included $2,000
These options are included with the project scope.
$2,000
- Delivery Time 21 days
- Number of Revisions 3
- Number of Pages 8
- Design Customization
- Content Upload
- Responsive Design
- Source Code
Frequently asked questions
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EP
Eric P.
May 7, 2026
Full Stack Software Engineer
Good working with Haziq. Will review again once project restarts.
RM
Ronny M.
Feb 19, 2026
AI Powered Real Estate Website Developer
DL
Dylan L.
Aug 28, 2025
Ai agent and software creator
hes the best
BH
Brad H.
Aug 26, 2025
AI Developer for Innovative Chat Platform
Very responsive, and good work.
AM
Andriy M.
Jun 23, 2025
Chatbot & Lead Automation Setup for Construction Business (Tidio, ManyChat, Calendly)
He did a really great job on the Chatbot on my website, went an extra mile. I'm really satisfied.
About Haziq
Voice AI Agent & AI Agent Developer | RAG, LangGraph, Multi-Agent
100%
Job Success
Rawalpindi, Pakistan - 2:23 pm local time
If you want to move from basic LLM prompts to resilient, autonomous AI agents, here is how I help USA teams scale.
- WHAT I BUILD -
# Voice AI Agents & Conversational AI Development
Fully autonomous inbound and outbound voice agents for call handling, lead qualification, and instant CRM syncing. I build AI voice agents for appointment booking used by clinics, salons, and service businesses, with human-handoff logic and real-time reliability. Stack: Vapi, Retell AI, ElevenLabs, Twilio.
# AI Agent Development & Multi-Agent Systems
Multi-step autonomous agents with dynamic tool-calling, persistent memory, and validated structured outputs. As an AI agent developer working in LangGraph, I design Multi-Agent Systems where each agent handles retrieval, reasoning, and execution in one production pipeline. Stack: LangGraph, LangChain, Claude API, OpenAI API.
# Enterprise RAG Systems & Document Intelligence
Industrial-scale knowledge bases with hybrid keyword and semantic search, advanced chunking, and low-latency retrieval. My LangChain RAG pipelines deliver accurate, citation-backed answers over large data corpora, cutting support load and resolution time. Stack: Pinecone, Weaviate, FAISS, pgvector.
# Custom MCP Server Development
Custom MCP server development that connects AI agents directly to your internal tools, proprietary APIs, and live databases - securely, with full control over what each agent can see and do.
# AI Chatbot Development & Conversational AI
Context-aware AI chatbot development grounded in your own knowledge base for web, WA, and voice, with conversational AI development tuned to your business logic and tone.
# AI SaaS MVP Development & Full-Stack Delivery
End-to-end AI SaaS MVP development from architecture to containerized deployment. Stack: FastAPI, Node.js, Next.js, React, Supabase, PostgreSQL, AWS, Docker.
# Business Process Automation & CRM Integration
Business process automation with AI that removes manual bottlenecks through event-driven pipelines, plus deep CRM integration automation across HubSpot, Salesforce, and GoHighLevel. Stack: n8n, Make, Zapier, custom Python.
- HOW I BUILD IT -
Vector search and semantic search done right, structured outputs you can trust, and architecture designed to last. I scope the system first, build for scale, and test before delivery - so what ships keeps working after I hand it over.
- WHO BENEFITS -
Founders, operations leaders, and product teams across SaaS, healthcare, fintech, real estate, e-commerce, and professional services who need a serious AI partner - not a template wrapper.
We are a strong fit if:
- You need a scalable Voice AI Agent, a custom Enterprise RAG system, or an AI SaaS MVP.
- Your budget reflects enterprise-grade work.
- You want to start within the next two weeks.
Probably not a fit if:
- You want a low-budget ChatGPT template wrapper.
- The scope has no clear business objective or defined logic.
- You need an untested 48-hour rush. I design systems built to last.
- NEXT STEPS -
I check messages daily and reply to project inquiries within 12 hours. If your project lines up with my core, hit Message or Invite. I also offer a complimentary 20-minute architecture scoping call over Upwork video to map your system before any commitment. Let's build something serious.
Steps for completing your project
After purchasing the project, send requirements so Haziq can start the project.
Delivery time starts when Haziq receives requirements from you.
Haziq works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Scope Confirmation
I review your requirements, target users, must-have features, designs/prototypes, AI use case, integrations, and business goals. We confirm the final scope, deliverables, and technical direction before development starts.
Architecture & Setup
I define the app architecture, database structure, user flows, AI/LLM integration approach, API plan, authentication setup, and deployment strategy. I also set up the project foundation and development environment.