Michele Toni
About Michele Toni
Michele Toni is a Machine Learning Engineer at Standard AI, specializing in machine learning tasks for autonomous checkout systems. With a strong educational background in computer engineering and multiple relevant certifications, Toni also runs an Instagram page dedicated to AI experiments.
Work at Standard AI
Michele Toni has been employed as a Machine Learning Engineer at Standard AI since 2020. He works remotely from Milano, Lombardia, Italia. In this role, he is part of the Interactions team, focusing on machine learning tasks specifically for autonomous checkout systems. His responsibilities include developing and optimizing algorithms to enhance the functionality of these systems, contributing to the company's advancements in AI technology.
Education and Expertise
Michele Toni has a strong educational background in computer engineering. He earned his Master's degree in Computer Engineering for Business Administration from Università di Pisa, completing his studies from 2011 to 2013. He also holds a Bachelor's degree in Computer Engineering from the same university, which he achieved from 2006 to 2011. Additionally, he has pursued specialized training in machine learning, completing a Machine Learning Engineering for Production (MLOps) specialization through Coursera from 2021 to 2023. He has also obtained a Computer Vision Nanodegree and a Deep Learning Nanodegree from Udacity in 2018 and 2017, respectively.
Professional Background
Before joining Standard AI, Michele Toni worked at Checkout Technologies as a Deep Learning Engineer from 2018 to 2020. His earlier experience includes a position as a Software Developer at Sistemi Territoriali Srl from 2014 to 2016 and as a Research & Development Engineer at Cynny from 2016 to 2018. Throughout his career, he has focused on machine learning and software development, contributing to various projects in the field.
AI Experiments and Contributions
Michele Toni actively runs an Instagram page dedicated to AI experiments, where he shares insights and showcases generated content. He also contributes to AI-related projects on GitHub, where he demonstrates a range of machine learning experiments and solutions. His engagement in these platforms reflects his commitment to advancing knowledge and innovation in the field of artificial intelligence.
Certifications and Specializations
Michele Toni has pursued various certifications to enhance his skills in machine learning and artificial intelligence. He completed a Machine Learning Engineering for Production (MLOps) specialization on Coursera from 2021 to 2023. Additionally, he has earned a Computer Vision Nanodegree and a Deep Learning Nanodegree from Udacity in 2018 and 2017, respectively. These educational pursuits underscore his dedication to staying current with industry trends and technologies.