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aldot311/README.md

Hi, I'm Aldo — founder of Aetrai

I build AI agents that run real businesses: phone lines, text assistants and lead pipelines in production for local service companies, and now computer-vision products on Meta's models.

Building now

  • Screen-Time — measures every second a brand is actually on screen in creator video, using SAM 3.1 video tracking and Muse Spark scoring (Meta Global AI Developer Hackathon, Oct–Nov 2026).

Shipped

  • AI lead engine for Perfect Pear Junk Removal (live) — SMS assistant with guardrails and a spend cap, AI voice line, consent-aware follow-up scheduler, Postgres with row-level security; 2,249 automated tests.
  • Aetrai's own AI voice and chat agent, feeding a multi-tenant client portal and lead pipeline (Next.js, Supabase, Retell, Twilio, Stripe).

Client code is private; happy to walk through it.

How I build

TypeScript, Node.js, Next.js, Postgres/Supabase, Twilio, Retell; Claude, Muse Spark, SAM; test-first, with coordinated AI coding agents under my review.

Security background

CompTIA A+, Network+, Security+, CySA+, PenTest+, Project+ · ISC2 SSCP associate · Azure Sentinel SIEM lab

LinkedIn · X · aetrai.com

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  1. aldot311 aldot311 Public

  2. Azure-Sentinel-Lab Azure-Sentinel-Lab Public

    Set up SIEM that collects failed RDP logs and puts them on a world map for analysis.

  3. screen-time screen-time Public

    Measures how long a brand is actually on screen in creator video and checks it against the contract. Built with Meta SAM 3.1, Muse Spark and Muse Voice Transcribe.

    TypeScript