Full-stack Developer - Enviando
Featuring integrations with several shipping companies, Google Cloud print, ERPs, and eCommerce platforms, Enviando is the best solution for Brazilian eCommerce companies to handle picking, packing, and shipping of their orders. Applying a CI/CD process, the team was able to evolve the software at a fast pace and improve it as quickly as needed by the clients. Developed a WMS to handle the processing and shipping of hundreds of orders from different eCommerce top players. The project was launched in 2016 as a solution for the leading Brazilian games store, and after its success with them, it was launched as a SaaS. The project allowed their clients to carry out 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: Django, Bootstrap.
Full-stack Developer - Magtab
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, blogs, sites, 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 hosting PDF files in an app with a complete solution with responsive layout landing pages done through React.js and Google AMP. The testing base allowed for upgrading the codebase to the latest Python, Django, and React versions. Technologies used: React.js, Django.
Full-stack Developer - Lessons10
Lessons10 is a tool to help teachers with 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. Developed the project using Django as back end and React/React Native as front end 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: React.js, Django.
Full-stack Developer - Mainiti
Mainiti, which means “every day” in Japanese, is an online platform for teaching mathematics to children. Launched in 2012, it helped several schools and institutions to improve their students' familiarity with mathematics. It was built using Django on the back end and Foundation on the front end, with 250+ exercise models with thousands of examples, from basics to high-school questions, created through Python scripts. Built several different models of complex mathematical exercises and wrote scripts to build exercise options (for example, to calculate each digit in an addition or subtraction). Technologies used: Django, Foundation.
Owner - Portal do Representante
Portal do Representante is a 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. Developed the portal from scratch and took care of maintenance, planning, evolving, marketing, and SEO across its nine years of existence. Technologies used: Python, Django.
Full-stack Developer - Board Monitor
Board Monitor is a platform for company boards and committees to schedule and manage meetings and decisions taken, meet through video conference (Webex), and digitally sign meeting reports. The solution was acquired by giants like Rumo All, WEG, Scania, and other billion-dollar companies. Technologies used: Django, Bootstrap.
Owner - VagaPraVoce.com
VagaPraVoce.com (meaning "Job for you") was launched with usability and good user experience in mind. Developed the site with Django and React.js, with a focus on white-label clients, and launched it in 2020. Implemented AI concepts to match candidates with job offers and built the application as an easily scalable stack using Docker.