AI
automation.
AI automation uses large language models inside background workflows to handle repetitive work — reading emails and documents, categorizing requests, updating records and drafting responses — with exceptions routed to a human. I build these automations in Python with queues, logging and approval steps.
Most teams lose hours to repetitive reading, sorting and copying. I build AI automations that handle that work in the background and hand anything uncertain to a person.
What I build
Inbox and document processing
Extract data from emails, PDFs and forms into your systems.
Request triage
Classify and route support or sales requests.
Drafting
Draft replies, summaries and reports for review.
System sync
Update CRMs, sheets and databases automatically.
Problems I solve
- Staff re-typing data between tools
- Slow responses to incoming requests
- Zapier flows that break on unstructured input
Technologies I use
- Python
- FastAPI
- Queues / workers
- OpenAI
- Claude
- Webhooks
- PostgreSQL
Development process
- 01
Discovery
- 02
Architecture
- 03
Build
- 04
Test
- 05
Deploy
- 06
Iterate
Relevant projects
Technical approach
- →Confidence thresholds decide what runs automatically.
- →Every action logged for audit.
- →Human approval queue for exceptions.
Frequently asked questions
Will automation replace my team?
It removes repetitive steps; people keep the decisions and edge cases.
How long does a typical project take?
It depends on scope. A focused feature or fix can take days; a first production version of a product usually takes several weeks. I give a written estimate after a short discovery call.
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.
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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.
