You will get a scalable full-stack SaaS MVP with auth, billing and dashboards
Project details
I build production-ready SaaS MVPs end to end - front end, back end, database, billing and deployment - so you launch with a real product, not a prototype.
WHAT YOU GET
• Next.js + React front end in TypeScript, responsive on every screen
• Node.js API with PostgreSQL, a clean schema and migrations
• Secure auth: email/password, OAuth, roles and protected routes
• Stripe billing: plans, subscriptions, webhooks and customer portal
• User and admin dashboards with the metrics that matter
• Deployment with CI/CD, environment configs and error tracking
• Full source code, README and handover docs - you own everything
HOW I WORK
A short kickoff to agree the scope, a written milestone plan, then working software you can click through every week. No black box, no surprise scope changes.
STACK
React, Next.js (App Router), TypeScript, Tailwind, Node.js, Express/NestJS, PostgreSQL, Prisma, Redis, Stripe, Docker, GitHub Actions, Vercel/AWS.
Not sure which tier fits? Send me your idea and I will tell you honestly what is realistic in scope and timeline.
WHAT YOU GET
• Next.js + React front end in TypeScript, responsive on every screen
• Node.js API with PostgreSQL, a clean schema and migrations
• Secure auth: email/password, OAuth, roles and protected routes
• Stripe billing: plans, subscriptions, webhooks and customer portal
• User and admin dashboards with the metrics that matter
• Deployment with CI/CD, environment configs and error tracking
• Full source code, README and handover docs - you own everything
HOW I WORK
A short kickoff to agree the scope, a written milestone plan, then working software you can click through every week. No black box, no surprise scope changes.
STACK
React, Next.js (App Router), TypeScript, Tailwind, Node.js, Express/NestJS, PostgreSQL, Prisma, Redis, Stripe, Docker, GitHub Actions, Vercel/AWS.
Not sure which tier fits? Send me your idea and I will tell you honestly what is realistic in scope and timeline.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$750
|
Standard
$2,000
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 10 days | 21 days | 40 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | - | ||
Content Upload | - | - | - |
Responsive Design | |||
Source Code |
Frequently asked questions
About Kiran
Full-Stack Developer | Python, React, Java, CSS & n8n Automation
Severn, United States - 6:48 pm local time
If you need someone who can take ownership of a product from idea to production, I can handle the complete development lifecycle.
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🚀 WHAT I BUILD
▸ Full-Stack Web Applications — React, Next.js, TypeScript, Python, Java, Node.js
▸ Modern Frontends — Responsive, pixel-perfect UIs with React, Next.js, Tailwind CSS, and reusable components
▸ Backend & APIs — Python/Django/FastAPI, Java/Spring Boot, Node.js, REST & GraphQL APIs
▸ AI & LLM Applications — AI agents, chatbots, RAG systems, document processing, OpenAI/Claude integrations
▸ n8n Automation — AI workflows, API integrations, lead automation, CRM workflows, data processing, webhooks
▸ Third-Party Integrations — Stripe, OAuth, CRMs, payment systems, SaaS APIs, messaging platforms
▸ Databases — PostgreSQL, MySQL, MongoDB, Redis, vector databases
▸ Cloud & DevOps — Docker, AWS, Vercel, CI/CD, GitHub Actions, deployment and monitoring
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🛠️ MY TECH STACK
Frontend — React, Next.js, TypeScript, JavaScript, HTML, CSS, Tailwind CSS
Backend — Python, Django, FastAPI, Java, Spring Boot, Node.js, Express, NestJS
Automation — n8n, REST APIs, Webhooks, Zapier, Make, custom workflow automation
AI — OpenAI, Claude, LLM APIs, LangChain, RAG, AI Agents, Vector Search, pgvector, Pinecone
Databases — PostgreSQL, MySQL, MongoDB, Redis
DevOps — Docker, AWS, Vercel, GitHub Actions, CI/CD, cloud deployment
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🤖 AI + AUTOMATION
I build practical AI systems that integrate directly into real business workflows — not just demos.
▸ AI agents and conversational assistants
▸ RAG systems connected to private/company knowledge
▸ AI document analysis and summarization
▸ Lead qualification and enrichment
▸ Automated CRM and sales workflows
▸ n8n-based AI automation pipelines
▸ API-to-API integrations and webhook workflows
▸ LLM-powered classification, extraction, and decision workflows
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💻 HOW I WORK
1. Understand the outcome
I focus on what the product needs to accomplish, not simply the feature list.
2. Define a clear scope
I break the project into practical milestones so progress and priorities stay clear.
3. Build and iterate
You get working software early, with regular progress and feedback throughout development.
4. Ship production-ready code
I care about performance, security, maintainability, testing, deployment, and clean architecture — not just getting something to work.
5. Handover properly
I provide documentation and organized code so your team can maintain and extend the product after delivery.
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⭐ WHY CLIENTS WORK WITH ME
✓ 8+ years of full-stack development experience
✓ Strong frontend + backend capabilities
✓ Experienced with AI/LLM and automation projects
✓ Comfortable working with existing codebases or building from scratch
✓ Production-focused development — not prototype-only work
✓ Clean, maintainable, scalable code
✓ Strong API and third-party integration experience
✓ Clear communication and reliable delivery
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Whether you need a full-stack SaaS application, React/Next.js product, Python or Java backend, AI agent, n8n automation workflow, API integration, or complete end-to-end system, I can help take it from concept to production.
Send me your project requirements, and I'll give you a clear, practical approach to getting it built.
Steps for completing your project
After purchasing the project, send requirements so Kiran can start the project.
Delivery time starts when Kiran receives requirements from you.
Kiran works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff and scope lock
I review your requirements, confirm the feature list, data model and success criteria, then send back a written scope with milestones and dates so nothing is assumed.
Architecture and setup
Repository, database schema, environment configs, CI/CD pipeline and the deployment target are set up before any feature work starts, so the foundation is solid.