Hi there! I'm Gusseppe Bravo, a passionate AI Research Engineer with several years of experience working on Production ML systems, Continual Learning, Trustworthy AI, AI agents and MLOps. I am currently working at the Barcelona Supercomputing Center, where I get to work with one of the world's top supercomputers.
Currently, I'm collaborating with Lenovo (USA) in Continual Learning and Trustworthy AI.
Also, I'm an intern PhD student at Emory University, developing a cognitive architecture for diabetic retinopathy models.
My expertise lies in Python, Spark, Java and C++ development for AI algorithms, MLOps, Numerical Analysis, Data Science, and Big Data. Linux is my virtual home.
- Continual Learning, Domain Incremental learning.
- Debugging Machine Learning models using AutoEncoders, Active Learning, and Interactive ML.
- Trustworthiness: Drift detection using Trust scores.
- Multiagents: Applied to Monitoring, Checking and Planning of ML models.
- Language agents: Cognitive architectures for custom tasks (e.g, Monitoring ML models).
- MLOps: Custom implementations for Pipeline development, CI/CD, Serving and Monitoring.
I dream of creating an AI system that learns to adapt to different scenarios in real-time, just as humans adapt to situations naturally.
If you're interested in connecting with me, feel free to send me a message or connect with me on LinkedIn!