Alex Giulietti de Barros

Alex Giulietti de Barros has a diverse work experience spanning multiple companies and roles. In their most recent position at Innatera, they served as a Senior Digital SoC Verification Engineer starting in May 2023. Prior to that, at oga.ai, they worked as a Senior Data Science Consultant from April 2022 to May 2023. They also held the role of Lead Data Scientist/Quantitative Researcher at LionX from June 2021 to February 2023.

From September 2020 to August 2021, Alex worked at PicPay as a Senior Data Scientist and Tech Lead, focusing on projects related to business intelligence, customer segmentation, and personalization. In addition, they developed recommendation systems and an ML model monitoring methodology.

Before joining PicPay, Alex worked at JBS, Eldorado, and Ambar as a Senior Data Scientist from September 2018 to June 2021. In this role, they were responsible for various machine learning projects involving energy market prediction and FX market forecast. They utilized Python machine learning libraries, Spark, MLFlow, and Looker for data analysis and modeling purposes.

Furthermore, Alex has experience as a Digital Design and Verification Consultant at Instituto de Microelectrónica de Sevilla IMSE-CNM in Spain from January 2019 to March 2019. They also served as a Digital Design and Verification Tech Leader at Teledyne Anafocus from May 2010 to September 2018, focusing on VSoC design and verification using Cadence ASIC frontend and backend tool flow.

Earlier in their career, Alex worked as an ASIC Communications Systems Engineer at ST-Ericsson from January 2008 to August 2010, participating in the architecture definition and implementation of WiFi ASICs. They also held the position of Senior Communications Systems Engineer at SiConnect, where they worked on the architecture definition and implementation of broadband powerline communications systems.

Additionally, Alex has experience as a Visiting Professor at Universidad Carlos III de Madrid from March 2004 to June 2006, primarily teaching and conducting research in the fields of digital signal processing, machine learning, and hardware digital design.

Overall, Alex Giulietti de Barros has a strong background in digital design, verification, data science, and machine learning across various industries.

Alex Giulietti de Barros has a strong educational background in Electrical Engineering. They obtained their Bachelor's degree (BsC) from USP - Universidade de São Paulo from 1990 to 1995. They then went on to pursue their Master's degree (MsC) from the same institution between 1995 and 1998. Continuing their academic journey, they completed their PhD in Electrical Engineering at USP - Universidade de São Paulo from 1998 to 2002.

In addition to their formal education, Alex Giulietti de Barros has also obtained several certifications in various fields. These certifications include courses such as "Natural Language Processing with Probabilistic Models" from Coursera in January 2022, "AI for Trading Nanodegree" from Udacity in December 2021, "Natural Language Processing with Classification and Vector Spaces" from Coursera in November 2021, "Introduction to Machine Learning in Production" from Coursera in October 2021, "Convolutional Neural Networks," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," and "Neural Networks and Deep Learning" from Coursera in November 2017, "R Programming" from Coursera Course Certificates in November 2015, and "The Data Scientist's Toolbox" from Coursera Verified Certificates in November 2015.

Overall, Alex Giulietti de Barros has a solid educational background in Electrical Engineering and has also supplemented their knowledge with various certifications in the field of data science and machine learning.