Hello, I’m João Victor Palhares Barbosa Avanzini!

I am an AI and Data Science specialist dedicated to building intelligent, scalable systems that solve complex business challenges. With a Master’s degree in Computer Science from one of Latin America’s top universities and a proven track record in both corporate and research environments, I bridge the gap between theoretical innovation and practical, high-impact applications.

My passion lies in transforming data into actionable insights and robust AI-powered products. Whether it’s architecting enterprise-grade data pipelines, leading computer vision teams, or developing sophisticated NLP models, I thrive on creating solutions that drive efficiency and growth.

Professional Expertise

My work is focused on three core areas where I deliver tangible value:

Data Engineering & Cloud Architecture
I design and implement resilient, automated ETL pipelines for large-scale data processing. My expertise includes building data workflows on the Google Cloud Platform (GCP), utilizing services like BigQuery, Cloud Functions, and Pub/Sub to ensure data is clean, harmonized, and ready for advanced analytics and machine learning applications.
Computer Vision
As a former Computer Vision Team Leader, I have hands-on experience taking projects from concept to deployment. I have successfully implemented solutions like real-time object detection with YOLOv8 for industrial applications, automated document analysis with OCR, and developed novel systems for ergonomic posture analysis that gained significant industry attention.
Natural Language Processing (NLP)
I build and scale conversational AI solutions that enhance user engagement. A key project involved leading the migration of enterprise chatbots for PagSeguro PagBank to a RASA/Python stack, engineering a microservices architecture designed to support millions of daily interactions.

Academic Foundations & Research

My practical skills are built on a strong academic foundation in artificial intelligence from the State University of Campinas (UNICAMP), where my research is recognized by the international community.

Master’s Thesis: My thesis, “Exploring representation learning on electrocardiogram signals”, was accepted and published, showcasing my ability to conduct rigorous scientific inquiry.
International Recognition: I have been invited to present my research at prestigious international conferences, including the International Joint Conference on Neural Networks (IJCNN) and the KHIPU Latin American Meeting in AI.

Let’s Build Something Great Together

I am currently available for freelance projects and consulting opportunities where I can help your team tackle significant challenges in AI and data. If you’re looking for a dedicated partner to bring your project to the next level, I would be delighted to connect.

Feel free to reach out: falejoaovictor@hotmail.com

Last updated: September 19, 2024