Jay Robertos

Forward-Deployed AI Engineer. Integrating real AI systems that replace hours of manual work.

A strong background in sales, management, and mathematics and now constantly adapting to the ever-changing world of AI. I've built, trained, and motivated teams of sales people and now I apply those same principles to building in the world of AI.

  • Claude
  • Next.js
  • React
  • Supabase
  • SQL
  • Amazon Web Services

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  • 00/04
    QuantDash

    QuantDash

    Web ApplicationA live macro-analytics SaaS, designed and shipped solo. Scores rates, inflation, growth, and positioning into one directional bias.
  • 01/04
    QuantDash Application Engine

    QuantDash Application Engine

    Automation & IntegrationAutomated lead scoring, routing, and recovery. Built in n8n for my own funnel, runs without me.
  • 02/04
    Lead Funnel Dashboard

    Lead Funnel Dashboard

    Interface & Data VisualisationA custom CRM and KPI terminal that updates itself. One screen for the whole funnel.
  • 03/04
    Checkbook

    Checkbook

    Mobile AppA personal finance app built to replace the one I was paying for. Bank sync, recurring-payment detection, net worth, and an AI that reads your transactions.
  • Python
  • TypeScript
  • JavaScript
  • React
  • Next.js
  • Supabase
  • Docker
  • Google Cloud
  • Amazon Web Services
  • Cloudflare
  • Vercel
  • OpenAI
  • Claude
  • Gemini
  • Python
  • TypeScript
  • JavaScript
  • React
  • Next.js
  • Supabase
  • Docker
  • Google Cloud
  • Amazon Web Services
  • Cloudflare
  • Vercel
  • OpenAI
  • Claude
  • Gemini

about me

Six years leading teams. Now I build AI.

I spent six years in sales: five face-to-face, two leading and training teams, carrying quotas and being accountable for the numbers. That's where my operating principles come from. Discipline, a level head, and trading short-term wins for long-term gains.

Markets are where those principles got sharpened. I trade macro: probability, risk-to-reward, position sizing. When I started using AI to speed up my own analysis, I realized the tooling I wanted didn't exist. So I learned to build it.

That turned into QuantDash, a live analytics platform I designed, built, secured, and shipped alone, and a stack of automations that run the business around it: lead scoring, follow-up sequences, a self-updating dashboard.

Here's what sales taught me that most engineers never learn: the model is rarely the bottleneck. The messy part is everything around it. The data, the handoffs, the humans who have to trust the output. I build for that part.

Building AI-powered products and automations that actually move revenue.

Core stack

  • Python
  • TypeScript & JavaScript
  • React / Next.js
  • Supabase & SQL
  • Claude, OpenAI & Gemini APIs

Also works with

  • n8n workflow automation
  • Docker
  • AWS, GCP & Cloudflare
  • Vercel deployments
  • Dashboards & data visualisation

Background

  • AI Automation Consultant, Apexium (2025–2026)
  • Assistant Manager, SoCal Premier Marketing (2023–2025)
  • Sales Trainer, Simple Energy Solar (2022–2023)
  • Sales Representative, Cricket Wireless (2020–2022)
  • Management Training Program (2023–2024)

What I bring

  • Five years of direct sales
  • Two years leading and training teams
  • Profitability & compliance ownership
  • Public speaking