I build AI automation systems that handle the repetitive work in your business — inbound leads, customer inquiries, and internal admin.
Three systems I've built and documented (demo videos available on request):
AI Customer Support Agent — Telegram bot answering customer questions from your own knowledge base using vector search, handles text, voice notes, and images. Escalates to a human when it can't answer, and the staff reply goes straight back to the customer.
Lead Qualification System — captures leads from your form or inbox, scores them with AI against your ideal-customer criteria, routes hot leads to instant alerts, and sends you a weekly performance summary.
School Helpdesk Bot — triages incoming questions, answers Tier 1 from a knowledge base, routes the rest to the right department with full logging.
Stack: n8n, Make, Zapier, Google Gemini, OpenAI, Supabase, Airtable, Google Workspace, Telegram, -----------, -----------.
Straight up: I'm about a year into automation full-time, and the systems above are builds I designed and tested end to end rather than paid client deployments. What you get is someone who has actually debugged these flows in production conditions — routing bugs, API failures, error handling — not someone who watched a tutorial.
Availability: 40 hours/week, 9AM–6PM PH time. I reply to messages within 12 hours on weekdays.
Available for a same-week kickoff call.
Send me a message describing the process that's eating your time and I'll tell you honestly whether automation is worth it for you — and roughly what it would take.
Verified
