Francesco Oliva

Francesco Oliva has a strong background as a software engineer, with experience in multiple companies. Francesco started their career at TSEM Italia srl in 2015 and worked there for a year. Following that, they joined CarBrain Technologies in 2016 and worked as a software engineer for a year. In 2017, they moved on to R.A.W. Srl where they continued their role as a software engineer until 2018. Currently, Francesco is working at TeiaCare as a software engineer, where they have been since 2018.

Francesco Oliva earned a Master's Degree in Electronics Engineering from Università degli Studi di Genova from 2008 to 2013. Prior to that, they completed a Bachelor's Degree in Electronics Engineering at the same institution from 2002 to 2007. In addition to their formal education, Francesco also pursued various certifications, including "Python in High Performance Computing" from FutureLearn in February 2022, "GPU Programming for Scientific Computing and Beyond" from FutureLearn in January 2022, and "Deep Neural Networks with PyTorch" from Coursera in November 2020. Other certifications obtained include "Convolutional Neural Networks in TensorFlow" from Coursera in December 2019, "Self Driving Car Engineer Nanodegree" from Udacity in February 2018, and "Neural Networks and Deep Learning" from Coursera Course Certificates in September 2017. Additionally, Francesco completed several online courses, such as "Internet of Things Specialization" and "An Introduction to Programming the Internet of Things (IOT) Specialization" from Coursera Course Certificates in 2016, "EE40LX Electronic Interfaces" from edX in January 2016, "6.002x: Circuits and Electronics" from edX in December 2014, "Introduction to Electronics" from Coursera in December 2014, and "CS184.1x: Foundations of Computer Graphics" from edX in November 2014. Francesco also obtained certifications in "Introduction to Power Electronics" and "The Hardware/Software Interface" from Coursera in November and September 2014, respectively. Furthermore, Francesco completed online courses like "EECS149.1x, Cyber-Physical Systems" from edX in June 2014, "6.01x Embedded Systems" from edX in May 2014, "ELEC301x Discrete Time Signals and Systems" from edX in May 2014, "Machine Learning" from Coursera in May 2014, "Linear Circuits" from Coursera in November 2013, and "CS344 Introduction to Parallel Programming" from Udacity in June 2013.