Lessons10 is a tool to help teachers in the exam correction, allowing them to include bubble sheets to their PDF exams and to scan the students' answers from these bubble sheets, using an Android App. The project was developed using Django as backend, and React/React native as frontend, using Python-OpenCV for bubble sheets parsing. The project helps teachers save time when correcting exams, both with the Android app to take pictures or with a web app where students can fill the exercises online. Developed the web app that parses the exam using Python/OpenCV and shows the scores (Django-rest-framework and React). It was successfully launched at the end of 2019. Technologies used in the project: React.js, Django.

Magtab is a content marketing platform designed to assist in digital marketing and digital media publishing. The company's platform assists in editorial graphic projects, inserts texts, images, videos, gifs, podcasts, helps in distributing the content on social networks, blog, site, and applications, enabling clients to generate leads and engage more readers or customers. Developed a content design platform to build landing pages, used by several small companies and marketing agencies. Replaced a legacy application that hosts PDF files in an app, by a complete solution with responsive layout landing pages done through React.js and Google AMP. The testing base allowed us to keep evolving, upgrading the code base to the latest Python, Django, and React versions. Technologies used in the project: React.js, Django.

With integrations with several shipping companies, google cloud print, ERPs, and e-commerce platforms, Enviando is the best solution for Brazilian e-commerce companies to handle picking, packing, and shipping of their orders. Due to the correct application of continuous integration and continuous delivery process, my team was able to evolve the software at a fast pace and improve the software as quickly as needed by the clients. Developed a WMS to handle hundreds of orders processing and shipping, from different e-commerce top players. The project was launched in 2016 as a solution for the leading Brazilian games store and, after been successful with them, it was launched as a SaaS. The project allowed their clients to make the same picking/packing/shipping process with 40% of the effort, even more accurately and without errors. The main client processed more than 160,000 orders through it. Technologies used in the project: Django, Bootstrap.

Mainiti, which means mean “every day” in Japanese, is an online platform for teaching mathematics to children. It helped several schools and institutions to improve their students' familiarity with mathematics. It was built using Django in the backend and Foundation in the frontend and comprises of more than 250 models of exercises with thousands of examples, from basics to high school questions, created through Python scripts. The project was launched in 2012 and allowed several students to enhance their skills, especially in mathematics. I built several different models of complex mathematical exercises and I wrote scripts to build exercise options (for example, to calculate each digit in an addition or subtraction). Technologies used in the project: Django, Foundation.

Board Monitor is a platform that allowed companies boards and committees to schedule and manage meetings and decisions taken, meet through video conference (Webex) as well as digitally sign the meetings reports. The solution was acquired by giants like Rumo All, WEG, Scania, and other billion-dollar companies. Technologies used in the project: Django, Bootstrap.

Portal do Representante is the leading job portal for salespeople in Brazil. With 7 million pageviews in 2019, mostly from organic traffic, it helped more than 100,000 companies and sales representatives to meet and work together. I developed the portal from scratch and took care of maintenance, planning, evolving, marketing, and SEO, across its nine years of existence. Technologies used in the project: Python, Django.

VagaPraVoce.com (which means, "Job for you") was launched with usability and good user experience in mind. It was developed using Django and React, with a focus on white-label clients. The project was successfully launched in 2020. Implemented AI concepts to match candidates to job offers, and built the application as an easily scalable stack using Docker. Technologies used in the project: React.js, Django.