AI SaaS
development.
AI SaaS development combines traditional SaaS architecture with large language models, AI agents, retrieval systems and automation. I build these products end-to-end, including frontend interfaces, Python backends, AI integrations, authentication, databases, subscription billing and cloud deployment.
I design and build production-ready AI SaaS products for startups and businesses, combining modern frontend development, scalable backend architecture, AI integrations, authentication, subscriptions, payments and cloud deployment.
What I build
AI-native products
The core AI workflow your customers pay for, designed for reliability.
Multi-tenant accounts
Workspaces, team invites and role-based access with data isolation.
Billing and usage limits
Stripe subscriptions, trials, plan limits and usage metering for AI credits.
Admin and analytics
Internal dashboards for customers, usage, revenue and support.
Problems I solve
- An AI prototype with no accounts, billing or limits
- AI costs that grow faster than revenue
- Customers seeing each other's data
- A codebase that can't support the next ten features
Technologies I use
- Next.js
- React
- Python
- FastAPI
- PostgreSQL
- Supabase
- Stripe
- OpenAI
- Claude
- Redis
- Docker
- Vercel
- AWS
Development process
- 01
Discovery
- 02
Architecture
- 03
Build
- 04
Test
- 05
Deploy
- 06
Iterate
Relevant projects
Technical approach
- →Tenant ID on every row with enforced access rules, not just filtered queries.
- →AI calls run through a single service layer that logs usage and cost per customer.
- →Plan limits checked on the server, never trusted from the browser.
- →Webhook-driven billing state so subscriptions stay in sync with Stripe.
Frequently asked questions
Can you build an MVP first?
Yes — I scope a first version around the one workflow customers will pay for, with auth and billing ready so you can charge from day one.
How do you control AI costs?
Per-customer usage tracking, plan limits, caching and routing simple tasks to cheaper models.
Do you work with US companies?
Yes. I work remotely with startups and businesses across the United States and internationally, with overlapping working hours for calls and async updates in between.
Related services
AI Agent Development
LLM-powered agents that complete real tasks — calling tools, reading documents and running…
Python Backend Development
Scalable backend systems in Python — clean APIs, background jobs, caching and integrations…
Stripe Integration
Payment engineering for SaaS and marketplaces — subscriptions, checkout, webhooks, custome…
RAG Development
Retrieval-augmented generation that answers from your own data — ingestion, chunking, vect…
Ready to start
your project?
I work remotely with startups and businesses across the United States and internationally. Tell me what you're building and I'll reply with next steps.