AI Integration Developer for Hire
I connect AI to the tools your team already uses, CRM, billing, support and internal systems, without forcing a platform rewrite.
133 completed contracts, 106 five-star reviews and a 100% Job Success Score on Upwork. 71% of that work came from clients who hired me again.
Where these projects go wrong
Most AI integrations fail at the seams, not the model: a webhook fires twice, a field means something different in each system, or a failure is swallowed and nobody notices for a week.
What I build
CRM and support automation
Leads, tickets and follow-ups moved between systems with the AI step in the middle, and a record of what it decided.
AI inside existing products
A model call added to the product you already run, behind your auth, with limits and a fallback when the provider is down.
Connectors and API bridges
Typed connectors with retries and idempotency, so the same event never creates two records.
Audits before builds
When something already exists and misbehaves, a short written audit first, then the fix.
Proof
Stripe to MailerLite: audit, then the fix
Duplicate and missed onboarding emails traced to their cause, then fixed in a second contract.
Zoho and Lambda to one Odoo module
Seven Lambdas and two Deluge scripts rebuilt as one module; nine defects found in the original.
Job-Hunting AI
My own SaaS: lead search, LLM qualification and outreach drafts a person approves.
Stack
OpenAI, Claude, LangChain, MCP, Python, FastAPI, Next.js, Node, Supabase, PostgreSQL, Stripe, HubSpot, Zoho, Odoo
Tell me what is broken
Send the workflow, the system or the idea. You get a straight answer on whether it is worth building, and what it would take. If I am not the right person, I will say so.