Professional Experience

Senior Machine Learning Engineer, Hurb

Dec 2021 – Feb 2025 (3 years and 3 months)

  • Led a company-wide experimentation program by implementing feature flags and A/B testing frameworks, empowering all teams to make informed, data-driven product decisions.
  • Designed and deployed a contextual multi-armed bandit-based recommendation system for 200k+ hotels, overcoming data sparsity and latency challenges through clustering techniques and offline batch processing.
  • Developed and deployed LLM-based solutions that achieved 88% accuracy in predicting legal lawsuit outcomes while automating multiple manual tasks and boosting legal department efficiency by 350%.
  • Created computer vision solutions using CLIP-like models for hotel image tagging and aesthetic scoring, improving user engagement by delivering context-aware, visually appealing content.

Data Scientist (Internship), Murabei

Oct 2020 – April 2021 (7 months)

  • Developed credit risk assessment model achieving 98% accuracy across 800k companies by designing and training ensemble models using economic and sociodemographic data.
  • Implemented end-to-end MLOps pipeline on Google Cloud Platform, enabling automated model training and deployment through API gateway and serverless architecture.

R&D Engineer (Internship), TechnipFMC

May 2021 – Oct 2021 (7 months)

  • Designed PCBs for an underwater robotic manipulator, ensuring robust power and signal integrity.

Research Experience

Undergraduate Researcher, Signal Processing Lab, UFRJ

August 2020 – December 2021 (1 year and 5 months)

  • Developed a Computer-Aided Detection system for tuberculosis from chest X-ray images, achieving 86% diagnostic accuracy through the implementation of Vision Transformer models.
  • Built hierarchical expert model architecture, achieving an F1 score of 0.91 in detecting SOP violations and improving quality control in public health image digitization.

Undergraduate Researcher, Control and Automation Lab, UFRJ

Mar 2018 – Jun 2019 (1 year and 4 months)

  • Designed and implemented firmware for underwater ROV position control, enabling precise navigation and operation through custom C++ communication protocols.
  • Developed SPI data interfacing between AVR microcontrollers, facilitating coordinated control of thrusters, cameras, and sensor systems.
  • Created robust hardware solutions for subsea operation, including PCB design for underwater thrusters and sensor integration.

Leadership

Team Lead, MinervaBots Robotics Team

April 2017 – January 2020 (2 years and 9 months)

  • Led the team to win 17 trophies in 6 categories over three years.
  • Secured second place among American teams in the autonomous category at the 2019 All Japan Robot-Sumo Tournament in Tokyo.
  • Managed a cross-functional team of mechanical, control and electrical engineers in developing an autonomous sumo robot.