Ahmed Raafat

Ahmed Raafat's work experience begins in 2016 when they worked as a Telecom Engineer at Telecom Egypt for a brief period. In 2017, Ahmed briefly worked as a Testing Engineer at Valeo, where they gained knowledge in testing techniques and basic Java skills.

From 2020 to 2022, Ahmed worked at RDI (The Engineering Company for Digital Systems Development) as a Machine Learning Researcher. During this time, they researched and developed Speech recognition systems and Optical Character Recognition (OCR) models. Ahmed also developed a Face landmark detection and alignment system and created an automated process for training custom object detection models.

In addition, Ahmed worked as a Deep learning researcher at Intixel for a few months in 2020. There, they analyzed medical chest X-ray images and solved detection, segmentation, and visualization problems using custom data generators. Ahmed also enhanced tubes and lines on chest X-rays using histogram equalization and matched filters.

Ahmed's experience in the field of deep learning continued in 2021 when they worked as a Deep learning Instructor at AMIT Learning. Ahmed shared their knowledge and expertise with others.

More recently, Ahmed joined Beyond Limits in 2022 as an NLP Applied Scientist, where they are currently working.

Ahmed Raafat completed their Bachelor of Engineering (BE) in Electronics and Communications Engineering from Cairo University, studying from 2013 to 2018. In addition, they obtained several certifications from Coursera, including "Deploying Machine Learning Models in Production" in July 2022, "Convolutional Neural Networks in TensorFlow" in March 2020, "Fundamentals of Scalable Data Science" in April 2019, "Applied AI with DeepLearning" in March 2019, "Deep Learning in Computer Vision" in September 2018, "Coursera Mentor Community and Training Course" in July 2018, "Practical Reinforcement Learning (with Honors)" in June 2018, "Deep Learning Specialization" in April 2018, and "Machine Learning" in December 2017.