Projects

Most relevant projects outside employment.

Deep Learning for Precipitation Nowcasting

2025 (Ongoing)

Researching advanced spatio‑temporal sequence modeling techniques for short‑term precipitation forecasting. Implementing state‑of‑the‑art architectures such as Space‑Time Transformers, Diffusion Models, and Flow Matching.

Technologies Used: PyTorch, Computer Vision, Transformers, Diffusion Models, Flow Matching

Mobile Real‑Time Gesture Recognition

Mar. 2024 - Jun. 2024

Developed a mobile‑ready, lightweight hand gesture recognition model based on MobileNetV3 for on‑device inference. Integrated the model into an Android application using React Native for real‑time gesture detection.

Technologies Used: PyTorch, Computer Vision, Image Segmentation, Expo, React Native

ML B3

May. 2022 - Present

Engineered prediction models targeting derivative trading in the Brazilian Stock Market using Keras, and Scikit‑Learn. Created a web app for easier monitoring and operation.

Technologies Used: Keras, Scikit-Learn, FastAPI, React, SQLAlchemy, PostgreSQL

WeatherLogger

Sep. 2022 - Dec. 2022

Architected a full-stack application for real-time weather monitoring with ESP8266-based weather stations, using MQTT and C programming.

Technologies Used: C, Arduino IDE, MQTT, FastAPI, React, PostgreSQL

Senior Thesis

Mar. 2022 - Dec. 2022

Conceptualized regression models predicting hourly solar irradiance based on weather forecasts using Machine Learning techniques.

Technologies Used: Keras, Scikit-Learn, Pandas, Numpy

Valuation BR

Mar. 2021 - Jun. 2021

Created a full‑stack application comparing different valuation methods for publicly listed companies in Brazil.

Technologies Used: Pandas, Web Scraping, Flask, Vue