Caio Piantino Email & Phone Number

Brazil

State Of Minas Gerais, Brazil

Belo Horizonte Area, Brazil

In close collaboration with the company team as a consultant, my responsibilities include:Leading the technical design and implementation of cloud solutions including data lake/lake house architecture, cloud operation tools, MLOps pipelines, data APIs, and over 30 AI/Statistical models.Specializing in AWS, I oversee and support cloud governance, cost monitoring, and optimization efforts.Working in tandem with various teams to ensure the seamless integration of AI and data science solutions within the cloud infrastructure.

Belo Horizonte, Minas Gerais, Brazil

Implemented AI-driven solutions on both AWS and GCP, integrating fashion insights and consultancy into computer vision-based search and generative recommendation systems for retail and end consumers. As CTO, I also play a pivotal role in:Client Relations: Directly liaising with clients to understand their needs, ensuring our solutions were tailored to their specific requirements, as well as negotiating contracts and project scopes.Strategic Planning: Key role in setting the technological direction for the company, evaluating and adopting new technologies as needed, and ensuring alignment with business goals.

Belo Horizonte

Designed and developed a Convolutional Neural Network (CNN) computer vision architecture tailored for fashion comprehension. My role involved:Research & Development: Conducted extensive research to understand the nuances of fashion comprehension and how computer vision techniques, specifically CNNs, can be optimized for this domain.CNN Architecture Design: Led the design and implementation of bespoke CNN architectures, ensuring they were adept at recognizing and interpreting fashion-related visual cues and patterns.Collaboration: Worked closely with data scientists and other stakeholders to integrate the developed CNN models into broader AI-driven fashion solutions, enhancing the overall accuracy and efficiency of the system.

Belo Horizonte, Minas Gerais, Brazil

Led a research study on the application of AI techniques to predict inmate misconduct.Evaluated the performance of advanced machine learning techniques including Support Vector Machines, Random Decision Forests, and Deep Learning Neural Networks.Led data analysis, preprocessing and feature engineering on a comprehensive dataset from the U.S. Department of Justice encompassing information on nearly 15,000 inmates with approximately 3,000 attributes, including offenses, sentences, criminal history, family background, drug history, and educational background.Highlighted the potential of AI in enhancing criminal risk assessment methodologies.

Tokyo, Japan

Belo Horizonte Area, Brazil

Deep Learning, Artificial Intelligence

Bachelor’S Degree, Computer Science

Activities and Societies: Entrepreneuring, Software Development, Research

Bachelor’S Degree, Computer Science

Japanese Language And University Preparatory

High School

Activities and Societies: Rowing Club