Lucas Nunes Sequeira
About Lucas Nunes Sequeira
Lucas Nunes Sequeira is a Python Developer with extensive experience in artificial intelligence and data bias. He has worked at Turing, AWS, and several other companies, and has contributed to academic knowledge through publications and workshops.
Work at Turing
Lucas Nunes Sequeira has held multiple roles at Turing. He worked as a Python Developer for eight months in 2023. Following this, he served as a Tech Lead for four months in 2023 to 2024. Currently, he is again employed as a Python Developer at Turing, continuing his contributions to the company since 2024.
Education and Expertise
Lucas studied at the Instituto de Ciências Matemáticas e de Computação (ICMC) - USP, where he focused on Inteligência Artificial and completed a Pós-graduação Lato Sensu - MBA from 2023 to 2024. He also attended the Instituto de Matemática e Estatística - Universidade de São Paulo (IME-USP), where he pursued a Mestrado em Ciências da Computação, which he later interrupted. Additionally, he completed a Curso de Verão in Equações Diferenciais Aplicadas in 2019.
Background
Prior to his roles at Turing, Lucas worked at Amazon Web Services (AWS) as a Cloud Developer & Solution Architect from 2022 to 2023. He also served as a Data Analytics/AI/ML Solution Architect at dataRain Consulting for one year during the same period. Earlier, he worked as a Pesquisador Júnior de Machine Learning at CPQD in 2021 and as an Engenheiro de software at Data Machina from 2020 to 2021.
Achievements
Lucas has authored three scientific publications that focus on artificial intelligence and data bias, contributing to both academic and industry knowledge. He won the AWS DeepRacer competition at the Summit São Paulo in 2022, highlighting his expertise in autonomous racing and machine learning. Additionally, he has participated in hackathons, where he received awards for his skills in competitive programming.
Workshops and Contributions
Lucas conducted workshops on computer vision and data bias at CtrlZ.AI in Barcelona and at USP. These workshops demonstrate his role as an educator and thought leader in the fields of artificial intelligence and data ethics.