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Fernando P. has a diverse work experience, starting with their current role at Venturus as a Data Science for Computer Vision. In this position, they are responsible for developing computational models using deep networks for computer vision, including projects such as pose recognition, emotion recognition, and identification and classification of protozoa.

Prior to Venturus, Fernando worked as a Professor at the University of São Paulo, where they taught subjects related to Computer Programming, Machine Learning, and Computer Vision. Fernando also supervised projects for undergraduates and MBA students in Artificial Intelligence and Big Data, as well as taught in the MBA in Data Science program.

Before joining the University of São Paulo, Fernando had a period of consulting and teaching in 2020. During this time, they provided their expertise in various domains.

Fernando's previous experience includes working as a Machine Learning Engineer at Birdie, where they developed machine learning models and deep networks for pattern recognition in images and texts. Fernando also created pre-processing and analysis routines to identify changing patterns in product quality features, aiming to improve quality and competitive analysis for customers.

Prior to Birdie, Fernando worked as a Professor at Paulista University and as a Development Analyst at Travel Explorer.

In earlier roles, Fernando worked as a Teacher at Centro Paula Souza, where they taught various subjects. Fernando also worked as a System Developer at Qriteris, responsible for developing systems for budget, accounting, secretarial, and pharmaceutical control. In this role, they also had the responsibility of communication between the Brazilian team and the central office located in Barcelona.

Fernando'searliest experience includes working as a System Developer at Ferrari Systems, where they analyzed and developed systems in various domains, including commercial, financial, machine repair, laboratory, and industrial products. Fernando was also involved in activities such as requirements gathering, testing control, software quality, technical training, and user assistance.

Fernando P. has a strong educational background in computer science and related fields. Fernando started their education journey in 2004 when they obtained a Bachelor's Degree in Computer Science from Universidade Estadual Paulista Júlio de Mesquita Filho, with a focus on Information Systems. Fernando then pursued further studies and completed a Master's Degree in Computer Science from the same university between 2014 and 2016. During this time, their field of study focused on Image Processing and Computer Vision.

Continuing their academic pursuits, Fernando enrolled in the PhD program at USP - Universidade de São Paulo from 2017 to 2020. Fernando successfully earned their PhD in Computer Science and Computational Maths, specializing in Image Processing and Computer Vision. Fernando'sresearch in this area allowed him to deepen their expertise and knowledge.

After completing their doctoral degree, Fernando joined USP once again for a Post Doctoral program from 2020 to 2021. During this time, their field of study focused on Machine Learning.

In 2022, Fernando P. embarked on an MBA program at MBA USP/Esalq. The program specializes in Project Management, providing him with additional skills and knowledge in this area.

Fernando's education history showcases a strong emphasis on computer science, particularly in the fields of Image Processing, Computer Vision, Machine Learning, and Project Management.