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Ernesto

Ingeniero De Inteligencia Artificial

Contato

Buenos Aires, Buenos Aires F.D., Argentina
Disponível na CazVid
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Competências

Python

Experiencia demostrada en Python.

JavaScript

Experiencia demostrada en JavaScript.

TypeScript

Experiencia demostrada en TypeScript.

C++

Experiencia demostrada en C++.

Node.js

Experiencia demostrada en Node.js.

Formação acadêmica

Engineering
Instituto Tecnológico de Buenos Aires (ITBA)
Presente
Bilingual Electromechanic Degree
Instituto Tecnológico Philips Argentina (ITPA)

Idiomas

SpanishNativo
EnglishB2

Resumo

Ingeniero De Inteligencia Artificial buscando nuevas oportunidades

Experiência

Backend Developer (Node.js / TypeScript)

MAGIIS

Built the Email Responder Service (ERS): an AI-powered microservice that reads incoming booking-request emails, uses LLM extraction to parse structured trip details, and automatically creates bookings through the Magiis REST API.. Implemented multi-tenant Gmail and Microsoft Outlook OAuth flows so each carrier connects their own mailbox and sends outbound confirmation emails from their own account.. Replaced slower IMAP polling with real-time inbox processing via Gmail Pub/Sub push webhooks and Microsoft Graph subscription webhooks, including automatic renewal.. Designed and built a TypeORM + MySQL persistence layer (carriers, email_domains, ers_connections, ers_trip_status) with a forward-only SQL migrations runner.. Developed a configurable reminder scheduler that tracks unacknowledged review emails, resends on a set cadence, and auto-abandons stale requests after a deadline.. Implemented on-behalf booking so corporate travel assistants can book trips directly for other employees without a manual review loop.. Set up Docker multi-stage builds and a Jenkins CI/CD pipeline.

Full Stack Developer

ICREA

Built an educational platform on Moodle with custom PHP plugins to meet institution-specific requirements.. Designed and administered MySQL databases.. Built an online payments integration with MercadoPago, the region's leading payment provider.. Owned frontend design and implementation.

AI Internship

Universidad de San Andrés (UDESA)

Developed AI for an air-hockey-playing robot capable of competing against humans.. Built Python control scripts for the physical table and a simulator used to test reinforcement learning policies.. Applied OpenCV for computer vision and PyTorch for model development.

Habilidades

PythonJavaScriptTypeScriptC++Node.js
Publicado na CazVid - 17 de set. de 2026
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