Christos Ntontis

Christos Ntontis has a diverse range of work experience in the field of machine learning and software engineering. Christos started their career as a Lab Assistant at the University of Thessaly in 2017. In 2018, they worked as a Software Engineer Intern at Think Silicon, where they evaluated different deep learning algorithms on their embedded GPU and optimized models to run on the GPU using TVM/NNVM.

In 2019, Christos joined Philips Pathology as a Software Engineer Intern, contributing to both the Research and Platform teams. During this time, they built an image serving API using Python and Flask as part of their dissertation.

From 2020 onwards, Christos worked at CattleEye, initially as a Junior Machine Learning Engineer and later as a Machine Learning Engineer. Christos collaborated closely with the research team to bring their deep learning models into production. Christos also improved the video-processing pipeline's efficiency and cost-effectiveness by introducing parallelization techniques. Additionally, they worked on explaining the models' results using techniques like Grad-Cam and Guided Grad-Cam.

Overall, Christos Ntontis has demonstrated their expertise in machine learning, deep learning models, software engineering, and GPU optimization throughout their work experience.

Christos Ntontis pursued their education at the University of Thessaly from 2014 to 2020. During this period, they completed an Integrated Master in Electrical and Computer Engineering with a specialization in Computer Software Engineering. In addition, Ntontis took part in an Erasmus program at AGH University of Krakow from 2018 to 2019, studying Electrical and Computer Engineering.