Informatics Engineering student focused on Machine Learning and Cloud Computing — building ML pipelines that go from raw sensor/environmental data to real deployed endpoints, and automating the cloud infrastructure that ships them. Currently on academic exchange at UNICAMP (Brazil), and selected for GCI World, an international data science/ML program run by the Matsuo-Iwasawa Lab at the University of Tokyo.
name: Andres Rodas
located_in: Campinas, Brazil (exchange @ UNICAMP)
current_focus: ["Time-Series Forecasting", "Cloud Deployment", "Applied ML"]
learning: ["Kubernetes", "LightGBM", "CI/CD", "Portuguese"]
open_to: ["Collaborations", "Research internships", "Cloud/AI deployments"]- 🥈 Silver Medal — Kiwie 2026 (UPCH): led the ML component of QUIM-DETECT2, a portable VIS/NIR spectroscopy system for pesticide detection (PCA, SVM, Random Forest, ANN)
- 🌍 Selected for GCI World (Apr–Jul 2026) — international data science/ML program, Matsuo-Iwasawa Lab, University of Tokyo
- 🎓 Academic exchange at UNICAMP, Institute of Computing — Machine Learning, Software Engineering, Computer Vision
- 🌫️ Building an ML pipeline for air quality prediction (PM2.5) in Campinas, with real cloud deployment
- 🌫️ Deploying an ML pipeline for air quality prediction (PM2.5) in Campinas, from model to cloud endpoint
- 🎓 Coursework at UNICAMP in Machine Learning, Software Engineering, and Computer Vision
- 🌏 Working through GCI World (Univ. of Tokyo) coursework in applied data science
- ☁️ Deepening AWS/Azure deployment skills — AWS AI & ML Scholars Challenge, AWS Agent Engineer Nanodegree
- 🏗️ Automating infrastructure with Terraform and IaC principles
- 🤖 Connecting AI/ML theory to real deployment pipelines
Always open to interesting conversations, research collaborations, and learning opportunities. Check out my portfolio at andresrodas.cloud!