I'm currently working on an E2E test plataform for mobile apps using AI :)

Dhart is a Startup that I am Co-founder, our goal is to develop products and software for companies.

at Hunter team, a project by ARIA in collaboration with SEFAZ, I focused on backend development and infrastructure. My role involved creating a system to optimize text similarity queries within an extensive database, resulting in a more than 60% improvement in query performance.

As a leader at TAIL, I spearheaded projects in the Trainees and Music Applications areas. I coordinated the development of a personality classification system based on the Myers–Briggs Type Indicator (MBTI), and led the creation of an AI-powered automatic page-scrolling API to enhance the user experience for musicians using chord apps.

In the Technology and Artificial Intelligence League (TAIL), I have developed various projects related to Artificial Intelligence, primarily utilizing data analysis tools and machine learning. Some of the notable projects include:- Movie Recommendation System: This project involved using the top 1000 highest-rated movies on IMDb. We conducted Exploratory Data Analysis, Cosine Similarity, and other techniques to achieve the desired results.- Kaggle Competition: I participated in a Kaggle competition hosted by the Data department, providing me with increased exposure to Data Science and Machine Learning, with a focus on Feature Engineering.WaveFlow: This project, which I recently completed in the music team —an area I greatly admire—involved developing an intelligent page-scrolling system specifically tailored for musicians.

At Estudo Play, I contributed to the development of an innovative application aimed at streamlining the essay correction process in public schools nationwide. This app leverages Large Language Models (LLMs) and Optical Character Recognition (OCR) to deliver quick and accurate corrections, along with personalized feedback on each student's performance. Our project received approval from the government of Minas Gerais and is currently being used by over 150,000 public school students across the state.

In this laboratory, I am involved in various projects that aim to study the applied impacts of Large Language Models (LLMs) on people's daily lives. This involves exploring potential areas where this technology can be utilized and developing solutions for a variety of everyday problems. Among these projects, the following stand out:TRILha: A mentorship program I created for first-period students, introducing them to the basic programming content necessary to secure their first internship.Humanify: A solution for the HR system of the company DOCK, developed for and winning one of the two hackathons in which I participated and won.

At Zoox, I participated in the development of an authentication system that utilized Optical Character Recognition (OCR) and Computer Vision for facial and document recognition. Additionally, I contributed to the creation of a text-to-SQL chatbot that employed Large Language Models (LLMs) to answer questions about an extensive database.

In this extension project, in which I participated as a volunteer, I gained valuable insights into the practical application of Data Science. The project aimed to comprehend the motor frequency behavior of a drone, with the goal of promptly detecting potential failures to prevent accidents.I employed Python's data science libraries to extract insights from the available data and conducted a window clustering process to more accurately identify these failures.