You will get a full-stack AI SaaS MVP ready for launch
Project details
I will turn your AI SaaS idea into a working MVP with the frontend, backend, database, authentication, AI workflows, and integrations needed to launch.
I have 6+ years of full-stack and applied AI experience building production systems with Next.js, React, Node.js, Python/FastAPI, PostgreSQL, Supabase, LLM APIs, RAG, and agentic workflows.
Depending on your package, I can build features such as AI chat, content generation, semantic search, RAG, AI agents, dashboards, subscriptions, payments, third-party integrations, and deployment.
The focus is not just getting a demo to work. I build the MVP with clean architecture, reliable APIs, structured AI outputs, proper data handling, responsive UI, and a foundation that can continue growing after launch.
If you already have designs or an existing codebase, I can work from them. If you are starting from an idea, I can help define the technical scope and turn it into a focused, buildable MVP.
I have 6+ years of full-stack and applied AI experience building production systems with Next.js, React, Node.js, Python/FastAPI, PostgreSQL, Supabase, LLM APIs, RAG, and agentic workflows.
Depending on your package, I can build features such as AI chat, content generation, semantic search, RAG, AI agents, dashboards, subscriptions, payments, third-party integrations, and deployment.
The focus is not just getting a demo to work. I build the MVP with clean architecture, reliable APIs, structured AI outputs, proper data handling, responsive UI, and a foundation that can continue growing after launch.
If you already have designs or an existing codebase, I can work from them. If you are starting from an idea, I can help define the technical scope and turn it into a focused, buildable MVP.
Programming Languages
JavaScript, Python, TypeScriptWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,250
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 2 | 2 | 3 |
Number of Pages | 3 | 5 | 8 |
Design Customization | |||
Content Upload | - | - | - |
Responsive Design | |||
Source Code |
Frequently asked questions
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MR
Manuel R.
Aug 24, 2026
Build a QA Testing Workflow
AS
Anum S.
Aug 5, 2026
Fix RAG Retrieval Quality pipeline & Add Source Citations to AI Document Assistant
The result exceeded my expectations. Abdul is highly skilled in AI and LLM integration. The final solution is robust and well engineered. Great communication, fast delivery, and excellent quality. Highly recommended!
MA
Moe A.
Jan 16, 2024
sort button
MA
Moe A.
Oct 13, 2019
Before and after prices
Great job done like always.
MA
Moe A.
Sep 22, 2019
shopify text input
Quick and high quality job done
About Abdul
Full-Stack AI Engineer | RAG, Agents & AI Search | Production Systems
100%
Job Success
Gujranwala, Pakistan - 8:54 am local time
I am a Full-Stack AI Engineer with 6+ years of experience shipping products that hold up under load, not just prototypes.
I have scaled a social platform to 1M+ users, optimized search latency from 5–6s to 1–2s, and launched a live, paying AI SaaS. I handle end-to-end architecture, backend, frontend, and deployment, or step into existing codebases to improve performance and reliability.
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CORE EXPERTISE
➤ RAG & LLM Applications
Production pipelines with hybrid search, HyDE, re-ranking, and contextual chunking. Measured retrieval quality using RAGAS. Built visual-language search for an AI fashion app and an itinerary engine for a travel SaaS.
LangChain, LangGraph, OpenAI & Claude APIs, Pinecone, pgvector, ChromaDB, Cohere
➤ AI Agents & Automation
Multi-step agentic workflows, tool-calling, document Q&A assistants, and retrieval pipelines.
LangGraph, n8n, Tool-calling, Multi-step retrieval
➤ Full-Stack Development
End-to-end SaaS builds with real-time systems and production infrastructure.
React, Next.js, Vue, Node.js, TypeScript, Python, FastAPI, PostgreSQL, MongoDB, Redis, Elasticsearch
➤ Computer Vision
Object detection, multimodal search, and visual-similarity systems.
YOLO, RT-DETRv2, SigLIP, Marqo, Vector Embeddings
➤ Infrastructure
REST/GraphQL APIs, authentication, RBAC, event-driven architecture, containers, orchestration, cloud infrastructure, and CI/CD.
Docker, Kubernetes, AWS, GCP
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HOW I WORK
✔ Available 30+ hrs/week with clear communication and predictable delivery.
✔ Break work into clear milestones, with working progress delivered weekly.
✔ Own technical trade-offs across performance, scalability, and reliability.
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Send me your product, codebase, or technical challenge, and I will outline the most practical path to build or improve it.
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.
Scope & Technical Plan
I’ll review your requirements, define the MVP scope, user flows, architecture, database structure, AI workflow, integrations, and delivery plan.
Build the Product Foundation
I’ll set up the frontend, backend, database, authentication, core application structure, and responsive user experience.