Your team loses 20–40 hours a week to manual work — follow-ups, data entry, reporting, support — that quietly caps your growth. I build the AI systems that do it instead, 24/7.
I'm an automation engineer who ships deployed, production systems — not demos. If a process is repetitive, I can usually turn it into something that runs itself.
Recent results (all live):
• Daily Guardian — a check-in safety-net app (React + Supabase + 11 n8n workflows + Twilio SMS) that erased 25+ hours/week of manual monitoring. Runs 24/7.
• Connect Saigon — a nightlife-ops platform: 12 always-on automations, 9,628 runs at a 0%
failure rate, plus an AI concierge that replies and books across WhatsApp/Messenger/Instagram and a live revenue dashboard.
• DeedFlow — an AI property-investing pipeline that scrapes, scores, and runs due diligence end-to-end at $0 in AI billing (216 properties processed, 25 bid-ready, 0 errors).
• Google Ads automation — a reporter that caught 3,945 wasted-spend search terms in a single run and a PMax audit that flagged 249 more.
How I work (my edge): I use Claude Code as a full engineering partner — every project gets its own architecture context, coding standards, and domain rules, so you get production-quality output and a build that normally takes weeks in days. I build on whatever fits your stack (n8n, Make, Zapier, Claude, Python, or custom).
Why clients keep me: I work as a partner, not a ticket-taker — async, no calls required, full ownership from audit to deployment.
Let's start low-risk: tell me the one task eating your team's time. I'll send back a free automation audit, and we can do a paid trial before you commit. Portfolio + 30+ live systems: marktolosaportfolio. com
