Machine Learning Engineer and Researcher
M.Sc. in Artificial Intelligence Candidate
I am a results-driven Machine Learning Engineer and Researcher with a Bachelor's degree in Electrical Engineering from the Military Engineering Institute (IME), one of the most prestigious and selective engineering institutes in Brazil. Currently, I am pursuing a Master of Science in Artificial Intelligence at the University of Texas at Austin, focusing on AI applications in healthcare, drug discovery, and cybersecurity in medical devices.
My passion for machine learning and AI stems from a desire to help people by leveraging technology to improve healthcare outcomes. I have proven expertise in developing cutting-edge intrusion detection systems, integrating machine learning and AI solutions recognized by the Brazilian Army's technological innovation agency (AGITEC) for their strategic significance.
Research Interests: AI applied to Healthcare, Drug Discovery, and Cybersecurity in medical devices.
Specialization focus: Cyber defense systems and advanced cybersecurity methodologies.
Final project: "Study and Optimization of Positioning of Antennas," awarded for its innovative contributions to communications engineering.
Developed a RAG system using large language models from Hugging Face Transformers, integrating advanced language processing capabilities to retrieve pertinent information from vector databases and generate context-aware responses.
Conducted preprocessing and classification of popular Intrusion Detection System datasets using modern Machine Learning techniques.
Developed simple apps to test, share, and evaluate Large Language Models for various tasks, including text summarization and conversational chatbots.
Created a pipeline for audio extraction from video and automatic subtitle generation using OpenAI's Whisper.