Yehya Abouelnaga
Staff Software Engineer with expertise in Computer Vision and ML
Berlin, Germany
Joined May 2026
Summary
Yehya Abouelnaga is a Staff Software Engineer with a strong background in Computer Vision and Machine Learning, having held positions at Personio and Amazon. His work experience at Amazon spans over seven years, contributing to major software development projects.
He has a significant academic and research footprint, with an M.Sc. in Computer Science from Technical University Munich and a B.Sc. (Highest Honors) from The American University in Cairo. His research has focused on areas like distracted driver detection, CIFAR-10 classification, and lightweight camera localization, as evidenced by numerous publications. google+4
Yehya is also involved in open-source development, notably contributing to the Ruby ecosystem by developing the Sinatra Logger gem during his time at Minodes. rug-b+1
Work
Education
Projects
Writing
DistillPose: Lightweight camera localization using auxiliary learning
January 1, 2021A lightweight retrieval-based pipeline for predicting 6DOF camera poses from RGB images.
Driver Distraction Identification with an Ensemble of Convolutional Neural Networks
January 1, 2019A paper focusing on identifying driver distraction using an ensemble of convolutional neural networks.
Real-time distracted driver posture classification
January 1, 2017Research on classifying driver posture in real-time to detect distracted driving behaviors.
CIFAR-10: KNN-Based Ensemble of Classifiers
January 1, 2016A study on the performance of different classifiers on the CIFAR-10 dataset and combining them for better accuracy.
San Francisco Crime Classification
January 1, 2016A Kaggle competition entry aiming to predict future crimes based on geographical and time-based features.