- In the most recent project I've helped with, I assisted my team by helping them implement a robust RAG solution utilizing Langchain and ChromaDB technologies. Led the development and successful deployment of the solution in an Azure environment using Docker containers. Achieved seamless functionality and enhanced performance through this innovative integration, facilitating streamlined data management and analysis.

- My most recent projects involved working with Language Models (LLMs), specifically GPT models. I utilized my expertise in prompt engineering to create effective inputs for the models and extract meaningful outputs. This project allowed me to further refine my skills in working with advanced language models and demonstrated my ability to tackle complex challenges in natural language processing. Also, I've had the opportunity to deploy these solutions at the Azure Cloud Platform, which was very interesting.- I've also worked on an Optical Character Recognition (OCR) project. My role encompassed not only the maintenance of the OCR solution but also involved presenting new alternatives to ensure its accuracy. Moreover, I gained experience in deploying and managing the OCR solution using MLOps practices, which enhanced my knowledge of machine learning operations.- Previously, I've also worked on a project where I was responsible for conducting data analysis, data engineering, and performing comparisons of various machine learning models. Additionally, I took the initiative to develop a small application to showcase the project's results to the client. This experience allowed me to demonstrate my skills in data analysis, data engineering, and also showcased my ability to deliver a functional solution.

In this position, I was able to research and apply Computer Vision and machine learning techniques to different areas of research. Although I've been more focused on medical applications, leading to the publishing of a paper in pathology analysis, I was also able to investigate and learn a lit bit more of embedded systems, generative networks and NLP techniques.

With this position I was first able to help with robotic mechanical design projects and reviewing, as well as understanding how a plant factory works and how automation can influence in a fabrication process. Currently I'm working with the process engineering and simulation team, where I'm able to help and get a better understanding of how a product manufacturing works and how to assemble it with automation.

In this position, I was able to learn and to help the company with the development of new plastic products in a sustainable and innovative way. Besides that, I could also contribute with the design development of a few mechanical items.

With the monitoring, I was able to assist the teachers in practical classes in the manufacturing of mechanical parts and handling of machining equipment, as well as in the use of workshop tools. Additionally, I was able to instruct students so that they could learn how to manufacture and handle parts.

During the period that I held this position, I was able to develop skills in machining manufacturing processes. I was able to contribute to team management, strategic manufacturing planning, and resource management for the production of aerospace artifacts.

With the monitoring in the area of Newtonian mechanics, I was able to assist the teachers by delivering some classes with the aim of instructing the students and helping with practical exercises.