I'm a software engineer with 10+ years of experience, currently on a deep dive into the fascinating world of Artificial Intelligence. My software development journey, specializing in Java and Python, has naturally evolved into a passion for building intelligent systems. I'm dedicated to the interconnected fields of Machine Learning, Deep Learning, and Computer Vision, using these complementary technologies to solve complex problems. Think of me as an independent researcher and AI enthusiast, constantly exploring the latest advancements and eager to apply them to real-world challenges.

• Currently pursuing a Mathematics degree at ICMC-USP, the top-ranked university in Latin America - this is my second degree!
• Completed my first degree in Systems Analysis and Development in 2015.
• Specializing in Artificial Intelligence at the UFV through a post-graduate program.

• Languages: Python, R, Octave and Java.
• AI Trio (ML/DL/CV): Building end-to-end AI solutions that combine Machine Learning algorithms, Deep Learning architectures (CNNs, RNNs, Transformers), and Computer Vision techniques. I approach these three domains as an integrated skillset, moving fluidly between them based on problem requirements.
• Software Development: Building robust and scalable systems with a solid foundation in object-oriented programming and experience with functional programming concepts.
• Mathematical Foundations: Leveraging my mathematics background to understand better and implement complex AI algorithms and statistical models.

• Machine Learning, Deep Learning & Computer Vision: Working at the intersection of these complementary fields to build comprehensive AI solutions.
• Neural Network Architectures: From traditional ML models to advanced deep learning structures for image recognition, NLP, and more.
• Data Processing Pipelines: Creating end-to-end workflows from data acquisition to model deployment.
• AI Applications: Applying my ML/DL/CV toolkit to solve problems in various domains including healthcare, finance, and automation.

Fun Fact: When I'm not wrestling with the latest AI innovations, I enjoy unwinding with a good mystery novel. I thrive on finding patterns and piecing together solutions, whether it's in a machine learning challenge, a complex neural network, a computer vision problem, or a thrilling whodunnit. Let's connect and swap ideas if you're into any aspect of AI or a good mystery!

• Building: Developing integrated solutions that leverage ML algorithms, DL architectures, and CV techniques together to solve interesting problems.
• Learning: Balancing my mathematics studies with hands-on AI projects while keeping up-to-date with advancements across the ML/DL/CV spectrum.
• Contributing: Passionate about open-source projects in all three domains (ML, DL, CV). Always looking for collaborations where I can apply my full AI toolkit.
• Connecting Theory & Practice: Applying mathematical concepts from my studies to enhance model performance, neural network design, and image processing algorithms.

I'm a big believer in the power of open-source software and love working on projects that leverage Machine Learning, Deep Learning, and Computer Vision together. If you're involved in an interesting open-source initiative in any of these domains, or just fancy a chat about the AI ecosystem, please get in touch! Let's collaborate and make some magic happen!

Check out my repositories for a mix of Python, Java, and my explorations across the ML/DL/CV spectrum. Let's connect and share our journeys in the fascinating world of AI!

Welcome to my GitHub crib! 🚀