
Machine Learning Engineer
His expertise lies in problem-solving through Data Analysis, Machine Learning, Data Engineering, Software development, and automated web scraping. With a strategic mindset, Gustavo excels in understanding context, testing hypotheses, and fostering a data-driven culture.
Analytical and well-organized, Gustavo has a strong theoretical engineering and mathematical background, enabling him to quickly adapt to new technologies. Ready to contribute throughout the project lifecycle, he seeks a challenging role in an international company to apply his skills and expertise.

At Visagio, a company focusing on business development and transformation, Gustavo is the Tech lead of vBrain, an Artificial Intelligence as a Service startup that is spearheading the development of solutions for clients across various sectors. His main responsibilities involve guiding the team in designing and developing the platform, ensuring its seamless functionality and precise AI solutions. In this role he:
On previous projects:

Lobo Guara was a fintech company dedicated to providing cutting-edge technology solutions for the investment advisory sector. Within 8 months of its inception, the company secured an impressive R$1 million valuation in angel funding.
Key offerings included:

Winners of the innovation prize for the 2018 SpaceX Hyperloop Competition. https://tumhyperloop.de/
WARR Hyperloop Levitation pod

Enrolled in the PurECO Project and in the HR team.
Gustavo was involved in the DRONI project, which focused on developing a Robotic Airship with an Innovative Design. The project entailed creating an unmanned airship equipped with four electric vectored thrusters and aerodynamic surfaces as actuators, with a useful load capacity of 6 kg, primarily for environmental applications.
Project details:
Hardware architecture: Designed a circuit board that facilitated the transition of the airship's control signal from manual to autonomous mode. It also enabled the embedded system to learn maneuvers by interpreting the manual control signal.
Software architecture: Implemented a ROS (Robot Operating System) node to serve as a driver for the board, controlling the motors during autonomous operations. Developed a ROS node to monitor the airship's battery status.
2016 - Member of the team for the IEEE-VSSS Competition (Very Small Size Soccer), the Rover Project, and also was the lead Project Manager for the Robocode Team.
2015 - Helped in the development of a quadricopter and in the organization of Arduino, electronics, and programming Minicourses during the Control and Automation Week at Unicamp.
2014 - Participated in the Freescale Cup competition for the Track Follower Project.

Ingeniørmæssig fremragendehed
Gustavo samlede præstation i en 90-minutters teknisk vurdering i realtid er blandt de top 5% bedst kontrollerede Machine Learning Engineer hos Proxify.



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