Rafael's Porfolio
I am a passionate software engineer with 4+ years of working experience. I love working with cloud native tools and bleeding edge technologies using Go and Python. I’m interested in solving real world problems in the fields of Distributed Systems, Machine Learning and Internet of Things.
Hash provides digital payments infrastructure and whitelabel products for non-financial companies interested in offering banking services.
Daitan Group is a software development company focused on the telecom industry focused on accelerating and sustaining product development.
March 2018 - March 2021, São Paulo, Brazil
Logicalis is an international solutions provider of digital services currently accelerating the digital transformation of customers around the world.
October 2020 - March 2021
January 2019 - October 2020
March 2018 - December 2018
Aug 2020 - Jan 2021 Extension Course: Complex Data Mining | ||
2014 - 2018 Bachelor's degree in Computer EngineeringExtracurricular Activities
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Jul 2017 - Aug 2017 Internet of Things Summer School |
OpenStack is a free, open source cloud computing platform. It is mostly deployed as infrastructure-as-a-service in both public and private clouds where virtual servers and other resources are made available to users.
Undergraduate thesis on time and frequency analysis conducted on acceleration data collected from gait tests on elderly people for detection of patterns to be used in medical diagnosis.
Passed Exam AZ-900: Microsoft Azure AI Fundamentals, demonstrating foundational level knowledge of cloud services and how those services are provided with Microsoft Azure.
Passed Exam DP-900: Microsoft Azure AI Fundamentals, demonstrating foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.
Passed Exam AI-900: Microsoft Azure AI Fundamentals, demonstrating foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.
The course explores the main methods of Data Science, including Data Analysis, Information Retrieval, Data Mining, Information Visualization, treatment of big data (Big Data), in addition to the most modern techniques of Artificial Intelligence and Machine Learning (including Deep Learning).
Advanced Architecting on AWS covers how to build complex solutions which incorporate data services, governance, and security on AWS. It introduces specialized AWS services, such as AWS Direct Connect and AWS Storage Gateway, and also covers best practices for building scalable, elastic, secure, and highly available applications.
Big Data on AWS introduces cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon DynamoDB, Amazon Redshift, Amazon Kinesis and the rest of the AWS big data platform, teaching how to leverage best practices to design big data environments for security and cost-effectiveness.
Passed Exam 774: Perform Cloud Data Science with Azure Machine Learning, demonstrating an understanding of Azure data services, machine learning and data science processes such as filtering and transforming data sets, model estimation and model evaluation.
Hands-on course on how to develop and customize embedded Linux systems. The course includes an introduction to the architecture of embedded Linux systems, how to use and configure cross-compiler toolchains and bootloaders, compile linux kernels, develop embedded applications and more.
Hands-on course on how to develop and customize embedded Linux systems using OpenEmbedded / Yocto Project.
Third place award in a competition between groups of students at University of São Paulo for developing a smart monitoring system for public transportation using data collected through Beacon devices.