DeepMind

Research Engineer • Sept 2019 - Current

• Applying DeepMind research to solve real world problems.

DeepMind

Research Engineer Intern • Oct 2018 - Feb 2019

• Researched and developed methods for recommendation to provide personalization.

Kunumi

Research Engineer Intern • Apr 2018 - Aug 2018

• Researched and developed methods for anomaly detection using Deep Learning. As result co-wrote the paper "A Generalized Active Learning Approach for Unsupervised Anomaly Detection" available at arxiv.

Google

Developer Programs Egineer Intern • May 2017 - Aug 2017

• Developed a 3-hour TensorFlow programming workshop for developers new to Machine Learning. Presented at four events (including KDD, a top database conference) to >650 developers;
• Created educational resources to make it easier for developers to understand how to write Recurrent Neural Networks (RNNs) in TensorFlow. This work was featured at two developer events, and soon to be published on the Google Developers blog;
• Worked with the Brain team to refine TensorFlow examples for distributed training and multiple GPUs. As a result there’s a well documented implementation accessible at tensorflow/models and a detailed guide soon to be available on tensorflow.org.

Paraíba State Olympiad in Informatics - OPI

Volunteer/Fellow Coach • Jun 2015 - Apr 2016 / May 2016 - May 2017

• Developed teaching material and classes in order to teach competitive programming concepts to high school students and undergraduate students;
• Auxiliar teacher in the Advanced Algorithms class of UFCG 2015.2, 2016.1 and 2016.2. This course was taught to more than 100 students;
• OPI already awarded more than 950 students with medals and diplomas, from these only 14 awarded in the first edition and 195 awarded in IX edition (2016).

Outreachy program with OpenStack Sahara

SWE intern • Dec 2016 - Feb 2017

Sahara allows remote HDFS, local HDFS, Swift, and Manila as data sources. However, there was no clean abstraction around them, and the code to deal with them is often very difficult to read and modify. I’ve created a clean abstraction of a data source and a job binary that each type can implement differently depending on its own needs. About 3000 lines of code were changed. More about it here.

Distributed Systems Laboratory

Student Researcher • Jan 2015 - Apr 2016

Researched about Data processing, Big Data, Cloud Computing and Cloud Monitoring.