Khaled M.

Assisting in teaching some courses such as #

CPP programming language •

Data Structures •

Introduction to AI •

Machine learning •

Supervision on graduation projects such as #

Advanced Driver Assistant System •

Smart Glasses for Blind people •

Worked on many projects of deep learning projects, and deep learning-related papers

Explaining scientific papers and machine learning techniques

حصلت على بكالوريوس الهندسة الكهربية تخصص الاتصالات والالكترونيات من احدى الجامعات المصرية بتقدير امتياز مع مرتبة الشرف

My graduation project was self-driving car design.

I was responsible for cars, persons, and traffic signs detection.

I used the single shot detection (SSD) based model.

At the end of the project, model accuracy was 92%.

In this project, I fine-tuned a Bert-based model to classify Talabate company reviews.

The dataset was in Arabic. My job was not just classifying reviews into negative and positive

but to classify negative reviews to help decision-makers improve the company's services.

Only 2500 samples were used for training and validation

I achieved an accuracy of 74% on the test sample.

ying

The purpose of the project is to detect bullying in Twitter's tweets.

I have used the Cyberbullying Classification dataset which was available on the Kaggle website.

After the dataset cleaning process, I fine-tuned the ROBERTA large language model on the

dataset.

The achieved accuracy was 87%.