Computer engineer

Summary

I carried out the implementation of Generative Adversarial Network models, where we applied optimal
transport for domain adaptation. Additionally, I developed and executed the implementation of deep learning models to process speech influenced by noisy environments. Moreover, I created a voice recognition and identification system using Pythons Tkinter library.
During my professional internship at Control Escolar UAZ, I had the ñ opportunity to participate in the
development of an Attendance System for university students. Our team was responsible for delivering
three different modules. The first one consisted of designing an interface for data management, using the
Python programming language. The second module focused on configuring mail servers and modifying the database, which was implemented in Oracle. Lastly, we developed a third module that allowed for attendance tracking through biometric mechanisms, such as fingerprint and voice recognition.

Expectations

Conducting research and staying updated with the latest advancements in deep learning to develop innovative solutions and models.

Employment Preferences
Expected Base Salary

**,000 USD

Academic Degree
Experience

Total Professional Experience

2 years

Startup Experience

no experience

Big-Tech Companies

no experience

Enterprise Experience

2 years
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