LLM & AI Integration

Add AI to your SaaS.
Without the rebuild.

I integrate GPT, Claude, Gemini, and AWS Bedrock into web apps and SaaS products - clean architecture, maintainable code, no flashy demo that breaks in a week.

See Real Projects Hire via Upwork

What I Do

Practical AI integration - not research, not hype.

I build the layer between your product and the LLM - clean, maintainable, and ready for production from day one.

AI Chatbots

Trained on your docs, website, or knowledge base - accurate answers, not generic responses.

Multi-LLM Integration

Switch between GPT, Claude, Gemini, or Bedrock per tenant, per cost, or compliance - one codebase.

AI Features in SaaS

Smart assistants, auto-fill, summarization - added to your existing product without rebuilding.

LLM Workflows

Automate content generation, document processing, or lead qualification with structured LLM outputs.

How I Do It

A structured approach that makes AI integrations reliable and maintainable from day one.

01

Understand

Clarify the problem, LLM requirements, and what production success looks like before starting.

02

Architect

Design the abstraction layer, data flow, and provider strategy - picking the right model for each job.

03

Integrate

Build the integration with proper error handling, fallbacks, cost controls, and logging from day one.

04

Ship

Deploy to production with clear handoff - tested, monitored, and ready to extend without rewrites.

My Toolkit

Tech Stack

The tools I rely on to ship production-grade AI SaaS - picked for reliability, not trend-following.

LLM Providers

AI models I integrate into production systems.

  • OpenAI GPT-4o / GPT-4
  • Claude (Anthropic)
  • Gemini (Google)
  • AWS Bedrock (multi-model)

Core Stack

Frontend & backend frameworks I ship with daily.

  • Next.js / React / TypeScript
  • Laravel / PHP
  • Node.js / Nuxt.js
  • Tailwind CSS

Infrastructure

Cloud, data, and deployment stack.

  • AWS (EC2, S3, SQS, Bedrock)
  • Supabase / PostgreSQL / MySQL
  • Docker
  • Vector Search (pgvector, Pinecone)

Featured Work

AI SaaS Projects - Real Architecture, Real Results.

Not just screenshots - actual decisions, constraints, and outcomes.

01
AI Chatbot SaaS

DocuChat - Multi-LLM Chatbot Platform

The Challenge
Build a production chatbot SaaS supporting multiple LLM providers, with vector search over user documents, multilingual support, and EU data residency compliance.
What I Built
Multi-tenant AWS architecture, document ingestion with vector embeddings, unified LLM abstraction layer supporting GPT, Claude, and Gemini - switchable per tenant.
Nuxt.js Node.js OpenAI GPT Claude Gemini AWS
Multi-LLM, multilingual, EU data residency - shipped to production
02
Lead-Gen SaaS

AddJuice - AI-Powered Lead Capture SaaS

The Challenge
Multi-tenant lead-capture platform where each tenant gets their own embeddable widget, with an AI co-pilot to convert and qualify leads automatically.
What I Built
Full SaaS on Next.js + Supabase with tenant isolation, embeddable widget builder, and OpenAI-powered co-pilot for lead scoring and response suggestions.
Next.js Supabase OpenAI API TypeScript Tailwind CSS
Multi-tenant MVP shipped from zero to production
03
Enterprise Contract

FeedAI - Enterprise Laravel + AWS Bedrock

The Challenge
Enterprise client needed AI-powered content processing integrated into an existing Laravel system using AWS Bedrock, within their cloud and compliance requirements.
What I Built
Laravel + AWS Bedrock integration with async job processing and a clean model-abstraction layer - allowing the client to swap LLMs without touching business logic.
Laravel AWS Bedrock PHP MySQL AWS SQS
Active enterprise contract - 169+ hours billed

Before You Reach Out

Is This a Good Fit?

I'm selective about what I take on - so both of us get the best outcome.

Good Fit
  • You're shipping a SaaS MVP and AI is part of the value, but you're not sure which LLM, stack, or architecture to commit to.
  • You have a SaaS in production and want to add AI features without breaking what already works.
  • A previous dev bolted AI onto fragile architecture and you need someone to fix it cleanly.
  • You care about long-term architecture, not just shipping the cheapest version.
  • You want a developer who tells you when AI isn't the right answer for the job.
Not My Specialty
  • Training or fine-tuning ML models from scratch - that's a different discipline entirely.
  • Pure data science, analytics pipelines, or research-focused AI work.
  • Projects where the only goal is the cheapest version with no regard for maintainability.
  • Mobile-only (iOS/Android native) applications.

Ready to add AI to your product?

Send me a brief about what you're building or the problem you're trying to solve.

Contact me on Upwork
Reply within 4 hours on business days
Clear yes/no on project fit
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