Abdullah Wagih | Data Scientist & AI Engineer

Abdullah Wagih

Data Scientist & AI Engineer

Based in Cairo

About

Experienced AI Engineer and Instructor with over three years of expertise in Artificial Intelligence, Data Science, and Machine Learning. Proven track record in curriculum development, delivering interactive training sessions, and mentoring students on real-world AI applications. Skilled in developing AI-powered solutions for various industries, specializing in machine learning, deep learning, and big data analytics. Adept at building scalable machine learning models, managing data pipelines, and guiding learners from basic to advanced levels in AI technologies.

Skills

Projects

Brain Tumor Segmentation

My project aimed to develop an automated system for segmenting brain tumors from MRI images, facilitating accurate diagnosis and treatment planning for patients. Leveraging the U-Net architecture, specifically designed for biomedical image segmentation.

Retina Blood Vessel Segmentation Pytorch

My project aimed to develop an efficient system for segmenting blood vessels in retinal images, crucial for diagnosing and monitoring various retinal diseases. Utilizing PyTorch, a powerful deep-learning framework.

Books Recommendation System

My project focused on developing an intelligent recommendation system to suggest books to users based on their preferences and behavior. The system aimed to enhance user experience and engagement by providing personalized book recommendations.

Chatbot for Bookshop

My project aimed to create an interactive and user-friendly chatbot designed specifically for book enthusiasts. The Chatbot Bookshop serves as a virtual bookstore, providing users with personalized book recommendations, information about books, and assistance with purchasing decisions.

Bank Term Deposit Prediction

My project focused on developing a predictive model to forecast whether a bank client would subscribe to a term deposit. The model aimed to assist the bank in targeting its marketing efforts more effectively and improving the success rate of its term deposit campaigns.

Face Recognition Attendance System with Real Time Database

My project aimed to develop an efficient and accurate system for automating attendance management using face recognition technology. The system leverages real-time database integration to provide immediate updates on attendance records, enhancing efficiency and reliability.

Volume Hand Control

My project aimed to develop a gesture-based system for controlling audio volume using hand gestures. The Volume Hand Control system leverages computer vision techniques to recognize and interpret hand gestures, allowing users to adjust the volume of audio playback without the need for input.

Virtual Calculator

My project aimed to develop a virtual calculator application that provides users with a digital interface for performing mathematical calculations. The Virtual Calculator offers a user-friendly and intuitive platform for performing basic arithmetic operations, scientific calculations, and more.

Detect QRCode and BarCode

Our project focused on developing a system capable of detecting and decoding QR codes and barcodes from images or video streams. The system leverages computer vision techniques to locate and extract QR codes and barcodes, enabling a wide range of applications such as inventory management.

Climate Changes Report

My project aimed to analyze historical climate data and forecast future climate changes using LSTM and GRU neural network architectures. By leveraging these advanced recurrent neural network models, we sought to capture temporal dependencies in climate data and generate accurate predictions.

Tea Production Company ChatGPT

Our project focuses on implementing a ChatGPT-based chatbot tailored for a tea production company. The ChatGPT bot serves as a virtual assistant, providing customers and stakeholders with personalized support, information about tea products, and assistance with inquiries related to tea production.

Shirt Try

My project focuses on developing a virtual "Shirt Try" experience, allowing users to visualize how different shirts would look on them without physically trying them on. Leveraging augmented reality (AR) technology and computer vision, the "Shirt Try" system offers an interactive and immersive way.

Chat with PDF using LangChain

My project focuses on developing a language-based interface that allows users to interact with PDF documents using LangChain technology. LangChain enables natural language processing (NLP) capabilities, allowing users to ask questions, retrieve information, and perform actions directly within PDF.

Company Sales Analytics Dashboard

Our project focuses on creating an interactive and insightful sales dashboard using Power BI, a powerful business intelligence tool. The Sales Dashboard provides stakeholders with a comprehensive view of sales performance, trends, and key metrics, enabling data-driven decision-making.

Covid-19 Analytics Dashboard

Our project focuses on developing an informative and interactive dashboard using Power BI to visualize and analyze COVID-19 data. The COVID-19 Power BI Dashboard provides stakeholders, policymakers, and the general public with real-time insights into the spread, impact, and trends of the COVID-19.

Multiple Diseases Prediction

My project focuses on developing machine learning models to predict the likelihood of three different diseases: diabetes, heart failure, and Parkinson's disease. By leveraging advanced data analytics techniques, we aim to assist healthcare professionals in early diagnosis.

Experience

March 2022 – Present

AI Instructor, Instant Software Solutions, Giza

• Delivered foundational and advanced courses in machine learning and AI, tailoring content to meet the needs of both beginners and professionals. • Created hands-on workshops on topics such as: o Regression Analysis: Demonstrated practical use cases for linear and polynomial regression in predicting sales. o Clustering Techniques: Applied k-means clustering to segment customer data for marketing strategies. o Deep Learning: Implemented CNNs and RNNs for image recognition and time-series forecasting. • Provided one-on-one mentorship for students, focusing on refining project workflows and troubleshooting technical challenges. • Regularly updated course content to include the latest advancements in AI technologies, such as GPT models and transfer learning techniques.

Sep 2022 – Present

Data Scientist, Sahwah, KSA (Remote)

• Designed and implemented scalable machine learning pipelines to enhance logistics operations, analyzing and predicting shipment delays. • Leveraged big data tools such as Hadoop and Spark for real-time data processing, achieving a 30% reduction in processing time. • Collaborated with a cross-functional team to deploy AI models for real-time shipment tracking, benefiting over 700 weekly operations. • Developed monthly dashboards using Power BI and Tableau to visualize trends and key performance metrics, enabling data-driven decision-making.

June 2023 – Present

AI Instructor, AMIT Learning, Cairo

• Developed and delivered industry-relevant training courses in machine learning, computer vision, and natural language processing (NLP). • Designed practical projects, such as: o Fraud Detection Models: Used logistic regression and decision trees to identify fraudulent transactions. o Image Classification Pipelines: Built deep learning models using TensorFlow to classify medical images. o Logistics Optimization Algorithms: Implemented predictive models for optimizing delivery routes. • Mentored over 50 students in their capstone projects, ensuring high-quality, practical outcomes aligned with industry needs. • Hosted live coding sessions to teach key machine learning techniques like hyperparameter tuning and feature engineering.

Oct. 2024 - Present

AI Instructor, Digital Egypt Pioneers Initiative - DEPI, Cairo

• Delivered advanced training in Artificial Intelligence, including Machine Learning, Deep Learning, and Natural Language Processing (NLP), to university students and early professionals. • Collaborated with MCIT and global partners to design curriculum aligned with national digital transformation goals. • Led project-based learning in real-world domains such as healthcare, finance, and logistics using Python, TensorFlow, and scikit-learn. • Mentored students through capstone projects, promoting innovation and practical problem-solving.

Aug. 2025 - Present

Data Science Instructor, SWISS, Cairo

• Delivered foundational and advanced courses in Data Science, tailoring content to meet the needs of both beginners and professionals. • Created hands-on workshops on topics such as: o Regression Analysis: Demonstrated practical use cases for linear and polynomial regression in predicting sales. o Clustering Techniques: Applied k-means clustering to segment customer data for marketing strategies. o Deep Learning: Implemented CNNs and RNNs for image recognition and time-series forecasting. • Provided one-on-one mentorship for students, focusing on refining project workflows and troubleshooting technical challenges. • Regularly updated course content to include the latest advancements in AI technologies, such as GPT models and transfer learning techniques.

Education

Sep. 2018 - July 2022

Bachelor’s Degree in Computer Science, Zagazig University

• Specialization: Medical Informatics. • Graduation Project: Developed a "Brain Tumor Classification and Segmentation System" using CNN-based architectures to classify and segment brain tumor images with high accuracy.