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Ricardo Cadar de Almeida
Belo Horizonte, Minas Gerais,Brazil
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Ricardo Cadar de Almeida is a highly accomplished and experienced technology leader, currently serving as the Head of Engineering for AI Platform & MLOps at Nubank. With over 15 years of extensive experience, he specializes in artificial intelligence, machine learning, MLOps, data engineering, and building scalable, high-performance software systems. Ricardo has a strong academic background with a PhD in Computer Science focused on Machine Learning from USP and a Master's degree from UFMG. He is passionate about leveraging cutting-edge AI/ML technologies to solve complex business problems, drive innovation, and deliver tangible value. His expertise includes leading and mentoring large engineering teams, defining technology roadmaps, and fostering a culture of technical excellence and collaboration. Prior to Nubank, he held significant roles at companies like Itaú Unibanco, demonstrating a consistent track record of impactful contributions in the financial technology sector.
How Did Ricardo Cadar de Almeida's Career Path Shape Their Journey?
Ricardo Cadar de Almeida's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
What Are Ricardo Cadar de Almeida's Key Achievements?
Head of Engineering, AI Platform & MLOps at Nubank
Leads multiple engineering teams responsible for Nubank's core AI platform, MLOps infrastructure, and machine learning engineering, enabling the deployment and scaling of AI solutions across the organization for millions of customers.
PhD in Computer Science (Machine Learning)
Earned a Doctor of Philosophy (PhD) in Computer Science from the Universidade de São Paulo (USP), with a research focus on Machine Learning, specifically on techniques for learning with privileged information and semi-supervised learning.
Former Lead Data Scientist / ML Engineering Manager at Itaú Unibanco
Played a pivotal role in developing and deploying machine learning models for various applications, including credit risk, fraud detection, and customer analytics, significantly impacting business outcomes at one of Latin America's largest banks.
Author and Speaker
Contributes to the AI/ML community through publications, articles, and speaking engagements at conferences and meetups, sharing insights on topics like MLOps, scalable AI systems, and machine learning best practices.
Early Adopter and Advocate for MLOps
Championed the adoption and implementation of MLOps principles and practices to streamline the machine learning lifecycle, improve model reliability, and accelerate the delivery of AI-powered products.
What's Ricardo Cadar de Almeida's Educational Background?
Engenharia Civil
Univesidade Federal de Minas Gerais - Year 1992
Master of Business Administration (MBA), Gestão de Negócios
Fundação Getulio Vargas
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Company Overview
BepassBepass is an open-source censorship circumvention tool designed to provide users with unrestricted access to the internet. It aims to empower individuals, particularly in regions with heavy internet filtering, by enabling them to bypass internet restrictions and access information freely and securely. The project is community-driven and focuses on robust and easy-to-use solutions for navigating around online censorship.
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