Developed, deployed, and refined a custom machine learning recommender system using collaborative filtering, factorization matrices and neural nets that led to a 26% improvemenazurt in conversion rates.

Oversaw the ground-up implementation of MLOps infrastructure using Microsoft Azure’s Synapse Analytics, Machine Learning, Data Bricks, and Kubernetes to support 20 requests per second.

This bot integrates whatsapp and sales funnel flow in the bitrix crm, payment gateways, integrates with insurance risk control platforms

Create and develop the architecture of ML and AI model ecosystems to interact with the total credit management web platform, which systematizes the credit granting operation, from origination to the final response to the client, including collection processes , customer service and loyalty.

Supervise and develop an interoperable artificial intelligence system composed of predictive models, neural networks and intelligent agents for a collection service; its implementation finally improved the weekly collection rate by 200%, in amounts in dollars we are talking that we went from 200,000 dollars to 500,000 weekly and optimizing with ML models in massive channels such as SMS, Email,Interactive Voice Response

Created internal tools for one of the country’s largest call centers that automated core operations; ultimately increased average individual productivity by 90% and top-line revenue to $8M USD