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Gabir Youssef has been working in the field of Artificial Intelligence since 2017. In 2017, they worked as a Software Engineer at LMR, where they programmed a microcontroller to control a robot arm and its base, as well as built an Android application to control the robot wirelessly. In 2019, they worked as a Machine Learning Engineer at Digified, where they used machine learning with computer vision and Natural Language processing technologies to build end-to-end deep learning-based architectures for digitizing Arabic documents, as well as face verification and liveness detection to authorize users as a real authentic person. In 2020, they worked as a Machine Learning Engineer at Anovate.ai, where they worked on vision projects powered with Machine learning algorithms to solve business problems from data preparation to model training and optimization. Gabir also worked as a Top Rated Machine Learning Engineer on Upwork with a job-success-rate of 100%. In 2021, they are currently working as an Artificial Intelligence Engineer at Rosalyn.ai, where they have built a scalable microservices AI platform for online proctoring and developed and optimized Machine Learning models. Gabir has also built Grafana dashboards connected to the Elasticsearch & Redis databases and FastAPI endpoints to monitor AI models and Infrastructure.

Gabir Youssef is a highly educated individual with a wide range of educational experiences. Gabir completed a Bachelor's degree in Electrical, Electronics and Communications Engineering from Alexandria University in 2019. Gabir then pursued a Master's degree in Artificial Intelligence from the University of Bath, which they are expected to complete in 2024. Additionally, they have obtained various certifications from Coursera and Udacity, including a Data Science Nanodegree, a Deep Learning Certificate, a Natural Language Processing Certificate, and certifications in TensorFlow, Machine Learning, and Programming for Data Science. Gabir has also obtained certifications from IBM and the Science Club.