Franco Piergallini Guida

Franco Piergallini Guida has significant work experience in various roles related to machine learning and programming. Franco is currently employed as a Senior Machine Learning Engineer at EVERYANGLE since February 2022. Prior to that, they worked at VU SECURITY as a Research & Development professional from August 2021 to January 2022.

Franco has also been involved in academia, working at Universidad de Palermo. From March 2020 to January 2022, they served as a Professor, teaching advanced object-oriented programming. Additionally, from August 2019 to January 2022, they worked as an Assistant Professor, specializing in object-oriented programming. Moreover, from March 2018 to January 2022, Franco worked as a Researcher at the university.

Having a background in security, Franco also worked as a Security Researcher at ElevenPaths from March 2020 to June 2021. Furthermore, they gained experience as a Machine Learning Engineer at LatinMalls from February 2019 to January 2020.

Franco Piergallini Guida completed their education at Universidad de Palermo from 2013 to 2018, where they obtained a degree in Grado en Ingeniería with a field of study in Ingeniería informática. In addition to their formal education, Franco also obtained several certifications in the field of machine learning and artificial intelligence. This includes certifications in Introduction to Machine Learning in Production and Machine Learning Data Lifecycle in Production from DeepLearning.AI, obtained in January 2023. Franco also holds certifications from Coursera, such as Custom Models, Layers, and Loss Functions with TensorFlow (January 2021), Convolutional Neural Networks (August 2020), Deep Learning Specialization (August 2020), Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization (August 2020), Natural Language Processing in TensorFlow (August 2020), Neural Networks and Deep Learning (August 2020), Sequence Models (August 2020), Sequences, Time Series and Prediction (August 2020), Structuring Machine Learning Projects (August 2020), TensorFlow in Practice Specialization (August 2020), Convolutional Neural Networks in TensorFlow (July 2020), and Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (July 2020).