AI-enabled products

Problems I solve

• • Search / support that does not scale
• • Documents that are hard to query
• • Automations that need judgment, not just rules

What’s included

• ✓ Discovery on data and risks
• ✓ Provider integration + basic prompt/eval
• ✓ UI for human feedback
• ✓ Explicit costs and limits

Typical stack

OpenAI / Gemini, embeddings, Node, vector stores.

Portfolio examples

• GrileAMG A training ecosystem for nursing assistants: courses, multiple-choice questions, exam simulations, statistics, and tests distributed by teachers, across web, iOS, and Android, with subscriptions, AI, and editorial administration.
• Risa Time A digital ecosystem for picking up a customer's car, transporting it to a partner car wash, and returning it safely, coordinated through separate customer and driver apps, an operations panel, and real-time tracking.
• Mixbox A multi-vendor marketplace for local products, with a single cart spanning multiple stores, separate apps for customer, merchant, and courier, flexible payments, and an advanced system for importing and managing supplier catalogs.
• YouSpace A platform that helps families find the right specialists for children and teenagers, and lets professionals publish their profile, articles, and events within an ecosystem featuring verification, subscriptions, and centralized administration.
• BCA Solution A web and PWA platform that centralizes companies, equipment, support subscriptions, technical tickets, conversations with agents, documents, and parts orders, complemented by an AI assistant grounded in each case's manuals and history.