Full-Stack (React/FastAPI) • Cloud track • Embedded/IoT (north star) • ML/LLMs as a feature layer

I design and ship full-stack products end-to-end and add ML/LLMs as a feature layer (classification, automation, assistive replies).

• Shipping Full-Stack features with clean APIs and practical deployment
• Studying Cloud fundamentals and infrastructure patterns used in real products
• Keeping my long-term focus on Embedded/IoT (ESP32 / Embedded Linux)

• FinanceMail — Email classification + assisted reply suggestion
  Stack: React (Vite) • FastAPI (Pydantic) • scikit-learn (TF-IDF + Logistic Regression) • LLM for reply assistance
  Repo: https://github.com/ViRotta/FinanceMail

Frontend: React, Vite, JavaScript
Backend: Python, FastAPI, Pydantic
Data/ML: scikit-learn, TF-IDF, Logistic Regression, applied LLMs
Embedded/IoT: C/C++, ESP32, Arduino, Embedded Linux
Infra: Linux, Docker, Render (Static Site + Web Service)

Full-Stack / Cloud roles where I can ship product end-to-end — moving toward Embedded/IoT over time and using ML/LLMs only when they strengthen the solution.

☕ Fun: coffee/tea/chimarrão while studying.

• LinkedIn: https://linkedin.com/in/vi-rotta
• Email: rotta.code@gmail.com