Rafael Ribeiro Email & Phone Number

São Paulo, Brazil

Rio De Janeiro, Brazil

- I developed a solution for the "click and collect" system, which previously relied on manual validation using paper, pen, signatures, and document verification a process that took around 5 minutes. Today, we implemented a QR Code generation on the client's device, which is scanned in-store, allowing validation in less than 1 minute. This solution not only optimized the time but also generated significant savings in paper and ink costs, besides being a more sustainable alternative. Technologies used: Java, Spring, MongoDB, AWS.- I developed a purchase simulator for store replenishment with suppliers, capable of generating orders at the end of the process. Previously, this process was done using Excel and could take up to 3 days to complete; now, with the simulator, we managed to reduce this time to less than 1 hour. This automation resulted in significant time savings and reduced the need for labor. Technologies used: Java, Spring, OracleDB, MongoDB, AWS, RabbitMQ, Datadog.- I updated APIs that previously communicated with a legacy database, migrating to a new, more complete, robust, and information-rich database. This work included creating new tables, views, and communication through messaging systems. Technologies used: Java, Spring, OracleDB, AWS, RabbitMQ, Kafka.

Rio Grande Do Sul, Brazil

- I updated the legacy components and developed new ones to align with the new design structure that the website's front-end was set to receive. From the Endeca integration to the overhaul of .jsp files, all changes were made to support the new responsive layout, ensuring a better user experience. This led to a significant reduction in support forms and complaint calls, as well as an increase in platform sales. I utilized Endeca, Java, Oracle ATG Commerce, Bcc, Jenkins, Tortoise, Dynamo, WebLogic, Oracle DB, and GitLab.- I refactored the backend code that bridges the design with its functionalities, enabling the implementation of the new, more interactive layout. These improvements resulted in faster processing, optimized memory, and data usage, which consequently reduced costs for both the client and the end user. I utilized Java, Oracle ATG Commerce, Bcc, Jenkins, Tortoise, Oracle DB, GitLab, WebLogic, and Dynamo.

Rio Grande Do Sul, Brazil

- I implemented the "Contact Us" feature, creating a form that not only sends an email to the support team but also automatically opens a ticket for tracking. The integration with Captcha was crucial to prevent spam, thereby strengthening the relationship between the user and the platform. Technologies used: Java, Oracle ATG Commerce, Bcc, WebLogic, Jenkins, SourceTree, JavaScript, BitBucket, Git, OracleDB.- I monitored the order invoicing in production using Dynamo and Bcc, making necessary adjustments to ensure the correct flow of processes. This work resulted in more efficient order processing, allowing customers to track their orders in real time. Technologies used: Java, Oracle ATG Commerce, Endeca, Bcc, Dynamo.- I developed scripts to generate data extraction files directly from the database in response to customer requests, at a time when the platform did not yet have this functionality natively. This enabled a richer information base to support strategic decision-making. Technologies used: Oracle ATG Commerce, Bcc, OracleDB, Dynamo, Excel.

Salvador, Bahia, Brasil

- I participated in an intensive 3-month scholarship program focused on learning Java with an emphasis on the Spring framework. The program also covered best programming practices, Git, Databases, Design Patterns, Object-Oriented Programming, Data Structures, and Agile Methodologies.- At the end of the program, I developed a project for a website aimed at a personal trainer, which included video lesson availability, a scheduling system for students to book classes, integration with a payment API for managing subscription fees via credit card, and a robust security layer for the site. Upon completion, I presented the results and the developed functionalities to the evaluators.

Salvador, Bahia, Brasil

- I developed a monitoring system for water tanks and cisterns focused on aquaculture, capturing water quality data using sensors connected to a Raspberry Pi. This information was sent to the internet, allowing users to monitor all their tanks in real-time through a mobile-accessible dashboard. The project was designed following IoT principles. Technologies used: Python, Flask, Raspberry Pi, BitBucket, MySQL, JavaScript, HTML5, CSS3, BootStrap.- The company had an educational card game designed to teach Design Thinking, and I developed a website that brought this game into the digital space. This allowed the company to apply its methodology not only in in-person seminars but also online, with national reach across Brazil and an English version to take the methodology global. Technologies used: Python, Django, BitBucket, SQL Server, JavaScript, HTML5, CSS3, BootStrap.

Salvador, Bahia, Brasil

- I developed a platform that allows an architect to create and manage a line of balance to track the construction project they are responsible for. Previously, this process was done using Excel and could take over a week. With this new platform, it is possible to create a line of balance in just a few hours, significantly increasing the architect's productivity while reducing the cost and time required for this critical construction process. Technologies used: Python, Flask, Git, BitBucket, MySQL.- I developed a water monitoring system for pools in residential and condominium settings, featuring an audible alarm that triggers if a child falls into the pool or if unauthorized access occurs during restricted hours. Submerged sensors capture water data, which is sent to the internet, enabling the pool cleaner to know precisely when to clean the pool via a mobile device. The system was designed following IoT principles. Technologies used: Python, Flask, Raspberry Pi, GitHub, MySQL, Git, JavaScript, HTML5, CSS3, BootStrap.- I built an embedded system for monitoring water in a machine designed to make rainwater potable. The machine treats rainwater through various stages, with a monitoring module and sensors integrated at each stage, communicating with the machine to ensure that the water is ready for consumption by the end of the process. Technologies used: Python, Flask, Raspberry Pi, GitLab, MySQL, Git, JavaScript, HTML5, CSS3, BootStrap.

Associate Degree, Analysis And Systems Development, 9,8

Bachelor Degree, Mechatronics, Robotics And Control And Automation Engineering, 7,2

Activities and Societies: Member of the Academic Directory of Mechatronics Engineering; Member of the 1st Academic League of Programming.