Lucas Küttner Amin
About Lucas Küttner Amin
Lucas Küttner Amin is a Computer Vision Engineer with experience in various roles, including positions at Icaro Tech and Relo Metrics. He specializes in applying industry 4.0 concepts to enhance productivity and security through computer vision technologies.
Work at Relo Metrics
Lucas Küttner Amin has been employed as a Computer Vision Engineer at Relo Metrics since 2023. His role is based in Santa Monica, California, and he works remotely. In this position, he utilizes his expertise in computer vision to contribute to the company's projects and initiatives.
Previous Experience in Computer Vision
Prior to his current role, Lucas worked at Icaro Tech as a Computer Vision Specialist for 11 months in 2022. He also served as a Computer Vision Engineer at Engineering Brasil for 10 months from 2021 to 2022. His earlier experience includes a position as a Computer Vision Developer at GETTER - Amplified Industry from 2019 to 2021 and as a Computer Vision Researcher at Groupe Renault for one year in 2018.
Education and Expertise
Lucas Küttner Amin holds a Master's Degree in Artificial Intelligence from IU International University of Applied Sciences, which he is pursuing from 2023 to 2025. He completed a Bachelor's degree in Computer Engineering at the Federal University of Technology - Parana from 2015 to 2022. Additionally, he has earned Nanodegrees in Machine Learning Engineering and Computer Vision from Udacity in 2018 and 2021, respectively.
Focus and Specializations
Lucas specializes in applying Industry 4.0 concepts to generate intelligent insights in various sectors, including security, health, and productivity through computer vision technologies. He emphasizes automated testing and DevOps standards to ensure quality control in development processes. His work also involves developing machine learning container pipelines and concurrent execution models aimed at enhancing industrial productivity.
Technical Leadership and Contributions
In 2021, Lucas served as a Technical Lead for Artificial Intelligence at GETTER - Amplified Industry for seven months. In this capacity, he contributed to the development and implementation of AI solutions. His passion lies in integrating AI, computer vision, MLOps, computer architecture, data engineering, and software quality into his projects, particularly focusing on security initiatives for US-based clients.