Currently, I am engaged in my research thesis project. The study focuses on improving the readability of jUnit tests generated automatically by tools recognized in the literature, using artificial intelligence, specifically Large Language Models.
Passionate about Software Engineering, research, algorithms, and cloud systems .
My aspiration is to join a global company and pursue an international career.
Thesis: Microservice Integration to Support
Market Analysis on e-commerce site.
Relevant courses:
Thesis: Improving the Readability of Automatically generated tests using Large Language Models
Relevant courses:
Technology used: HTML, CSS, JavaScript and JsEmailSender as a service for the contact form.
Technology used:
Spring Boot (also Spring Security for the registration), Hibernate, PostreSQL, HTML, CSS, JavaScript
More features on the Github repository.
Technology used: c++, DoxyFile (documentation) and MakeFile.
The purpose of this application is to monitor and indicate to the user in real-time their performance during a running session.
It stores all sessions and extracts charts that allow the user to understand their physical changes over time.
Technology used: Langchain as a connector through the models.
Models provider used: OpenAI, Google, AWS Bedrock
Actually private.
The aim of this project is to implement Prim's algorithm for the solution of the MST problem for non-directed and connected graphs with non-negative weights.
The implementation of this algorithm was based on the production and use of the data structure: MinHeap (MinPriorityQueue).
The algorithm has been solved in both languages.