You will get AI SaaS Development | React | Next.js | Node.js | Python | Claude | OpenAI
Top Rated

Project details
Build a scalable, production-ready AI SaaS application with an experienced Full-Stack Developer specializing in React, Next.js, Python (FastAPI/Django), TypeScript, Supabase, PostgreSQL, and cloud-native architectures.
Whether you're launching an MVP, building a multi-tenant SaaS platform, creating an AI chatbot, implementing RAG/document search, or developing custom dashboards and workflow automation, I deliver clean, secure, and maintainable solutions tailored to your business.
My expertise includes OpenAI, Claude, Gemini, LangChain, vector databases (pgvector), Supabase Auth, Stripe subscriptions, role-based access, real-time dashboards, API integrations, and AI-powered automation. Every project is built with scalability, performance, and future growth in mind.
From UI/UX prototyping to complete SaaS product development, you'll receive production-quality code, transparent communication, and a solution designed for long-term success.
Whether you're launching an MVP, building a multi-tenant SaaS platform, creating an AI chatbot, implementing RAG/document search, or developing custom dashboards and workflow automation, I deliver clean, secure, and maintainable solutions tailored to your business.
My expertise includes OpenAI, Claude, Gemini, LangChain, vector databases (pgvector), Supabase Auth, Stripe subscriptions, role-based access, real-time dashboards, API integrations, and AI-powered automation. Every project is built with scalability, performance, and future growth in mind.
From UI/UX prototyping to complete SaaS product development, you'll receive production-quality code, transparent communication, and a solution designed for long-term success.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$800
|
Standard
$4,000
|
Advanced
$10,000
|
|---|---|---|---|
| Delivery Time | 7 days | 21 days | 45 days |
Number of Revisions | Unlimited | 3 | 5 |
Number of Pages | 12 | 12 | 12 |
Design Customization | |||
Content Upload | - | - | - |
Responsive Design | |||
Source Code | - |
Frequently asked questions
24 reviews
(21)
(1)
(1)
(1)
(0)
This project doesn't have any reviews.
PG
Patrick G.
Jul 9, 2026
AI LLM Developer for Healthcare E-Consent & Patient Chatbot Systems
Aadhar developed a high-quality LLM-based chatbot. We had hardware constraints and needed a model able to run on a commodity GPU. Aadhar developed the software architecture, harness and GUI. We couldn't have gotten a better result. I would definitely hire Aadhar again; he delivers high-quality work.
PG
Patrick G.
Apr 9, 2026
DNA Collection Management System
Aadhar was outstanding in his execution of this task. He was proactive, showed initiative, and anticipated the project's needs, almost before I knew them! I would certainly employ him again and would recommend him 100%.
PL
Peter L.
Jan 27, 2025
Create and Analyze Peacebuilding Project Database
PG
Patrick G.
Oct 4, 2024
Build browser-based interface, data warehouse and analysis/reporting for genomic data analysis
I cannot recommend Aadhar and his team more highly. They quickly understood the project, showed initiative, and made excellent, consistent progress. Milestones were communicated effectively and the work was completed in a timely fashion.
TE
Taher E.
Sep 20, 2024
API Optimization and Queuing System Management
About Aadhar
AI Developer | AI Agents | Healthcare AI developer | RAG, LLM, Python
100%
Job Success
Panchkula, India - 3:46 am local time
With 10+ years of software development and AI development experience and strong hands-on experience with Python, FastAPI, Node.js, javascript, React, Next.js, PostgreSQL, OpenAI, Claude, Gemini, LangChain, LangGraph, RAG, vector databases, and AI automation, I work across the complete AI application stack.
I specialize in AI-powered healthcare applications, clinical AI, healthcare automation, FHIR-based systems, healthcare data integration, RAG pipelines, and AI agents for HealthTech platforms.
I also work with Hermes Agent integrations, connecting AI agents with external APIs, tools, MCP servers, custom applications, and automated workflows.
What I build
• AI Agents and autonomous workflows
• AI Developer solutions using OpenAI, Claude, and Gemini
• LLM applications and AI assistants
• RAG systems and knowledge bases
• AI chatbots and conversational applications
• AI document processing and data extraction
• AI workflow automation
• Streamlit Dashboard
• Hermes Agent integrations,
• Multi-agent and tool-calling systems
• AI SaaS and multi-tenant platforms
• OpenAI, Claude, and Gemini integrations
• Custom AI API and third-party integrations
• Vector search using pgvector, Pinecone, and FAISS
• AI-powered dashboards and business applications
• n8n, API, webhook, and workflow automation
• Shopify and N8N automation
My AI Development Approach
I do not treat an LLM as just a chatbot.
For agent-based systems, I design the application around tools, structured inputs and outputs, retrieval, agent loops, validation, permissions, business rules, memory, and API execution.
For example, an AI agent can:
Understand → Retrieve context → Decide → Call tools → Validate → Execute → Record results → Continue the workflow
This makes the system much more reliable for production use cases such as AI automation, CRM workflows, marketing automation, document intelligence, recruitment, healthcare, SaaS, and business operations.
As a Python AI Developer, I commonly use Python, FastAPI, PostgreSQL, Supabase, Redis, pgvector, FAISS, and cloud infrastructure to build scalable AI backends. On the frontend, I work extensively with React, Next.js, TypeScript, Tailwind CSS, and modern SaaS architectures.
Technology Stack
AI / LLM: OpenAI, Anthropic Claude, Google Gemini, Hugging Face, GPT, LLM APIs
Agents: LangChain, LangGraph, tool calling, custom agent workflows
RAG: Embeddings, pgvector, Pinecone, FAISS, semantic search
Backend: Python, FastAPI, Django, Node.js, Express, NestJS
Frontend: React, Next.js, TypeScript, Tailwind CSS
Database: PostgreSQL, Supabase, MongoDB, Redis
Automation: n8n, APIs, webhooks, background jobs
Cloud: AWS, GCP, Azure, Vercel, Docker, CI/CD
Integrations: Google APIs, Google Ads, Meta Ads, Stripe, Shopify, CRM and SaaS APIs
As an AI Developer, I help startups and businesses turn AI ideas into production-ready applications, from AI MVPs and intelligent chatbots to complex RAG systems, AI agents, document intelligence platforms, and workflow automation.
If you need an AI Developer, AI Agent Developer, LLM Developer, RAG Developer, AI Automation Engineer, or Full Stack AI Developer who can take an AI concept through architecture, development, API integration, and production deployment, I can help.
AI Developer | AI Developers |AI chatbot developer | AI software developer | Open AI developer | AI app developer | AI SaaS Developer | Generative AI Developer | AI Agent Developer | Python AI developer | LLM Engineer | AI Agent Developer | Python Developer | FastAPI Developer | Django Developer | LangChain Developer | LangGraph Developer | RAG Developer | OpenAI Developer | Claude AI Developer | MCP Developer | Enterprise AI Developer | SaaS Application Developer | SaaS Architect | Multi-Tenant SaaS Developer | AI Automation Developer | Workflow Automation Developer | Python Developer | Cloud Application Developer | SaaS Developer | Ai machine learning | Python Developer | Python Backend Developer | Python SaaS Developer | Full stack AI developer | AI Developer for SaaS | AI Developer for Startups | AI Developer for Businesses | AI SaaS Developer | AI Startup Developer | AI Product Developer | AI Application Developer | AI Software Developer | AI Full Stack Developer | Custom AI Developer | Generative AI Developer | AI development.
Steps for completing your project
After purchasing the project, send requirements so Aadhar can start the project.
Delivery time starts when Aadhar receives requirements from you.
Aadhar works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Requirements
Review your business goals, features, integrations, and technical requirements.
UI/UX & Architecture
Create wireframes (if needed), define the SaaS architecture, database, and user flows.