Joselmo – Python, Django, React

The main idea of the project was to gather data from different sources and format it in such a way that it would be available for processing in other areas of the company. The team extracted data from various sources and used tools to standardize it properly.

• Created most of the architecture of the new systems and the way the systems interact with each other;
• Worked on monitors that would detect whenever the process is not going as expected;
• Implemented different CI/CD pipelines for automating the company's tools further.

The main idea of the project was to match empty trucks with cargo that needed to be dispatched. Thus reducing empty miles and costs for all the parties involved.

• Worked on algorithms related to matching the capacities;
• Reviewed code for junior developers;
• Created a Machine Learning platform to have a better understanding of capacity trends;
• Added parsing feature to generalize how clients would input their data into our Data catalog;
• Implemented contract tests to ensure the platform was uniform across different microservices.

This is a matching platform between travel guides and travelers. The team used machine learning algorithms to match complementary travelers who wanted to take a tour in foreign cities.

• Migrated the platform from AWS to GCP;
• Refactored most of the code to increase performance;
• Worked on the adaptation to microservices.

A backend system aimed at CV matching. By using techniques such as machine learning and sentiment analysis the team was able to match potential candidates with relevant openings in the local market.

• Coordinated the development flow for new features;
• Implemented and deployed new features;
• Defined development priorities with clients;
• Created microservices to handle different parts of the system, as well as their contract tests.
• Onboarded various customers to the platform.