Mohamed Ashraf Zaki Omar Ashraf

AI Engineer

Based: GIZA, Egypt
Status: Available for work

AI Engineer building scalable Python models with Ensemble Methods and Pandas data analysis, driven by precision in Supervised Learning outcomes.

01—About

Portrait— Mohamed Ashraf Zaki Omar Ashraf
AI Engineer

A highly motivated AI Engineer with a solid foundation in Machine Learning and data analysis. Proven ability to build and optimize predictive models, such as Credit Card Fraud Detection and Taxi Trip Duration Prediction. Passionate about deep diving into Neural Network architectures from scratch and committed to continuous learning in Deep Learning. Seeking to leverage my technical skills in Python and Ensemble methods to contribute to innovative AI solutions within a professional team.

02—Selected work

№ 01

Food Classifier App

Developed an end-to-end Computer Vision web application utilizing YOLO (You Only Look Once) to achieve real-time, high-accuracy food item detection and classification. Built a robust Full-Stack architecture integrating a React frontend for an intuitive user dashboard with a Django backend to orchestrate API requests and model inference tasks. Designed a non-relational database schema using MongoDB to efficiently store, index, and manage user detection history, food metadata, and classification logs. Optimized the end-to-end pipeline to ensure low-latency communication between the Deep Learning model and the backend server, maintaining seamless performance during concurrent image uploads.

React · Django · MongoDB · YOLO · Python

№ 02

Credit Card Fraud Detection

Developed a robust machine learning classifier to detect fraudulent credit card transactions. Implemented Ensemble Learning algorithms to handle highly imbalanced datasets, achieving an F1 score of 0.8215. Focused on data cleaning and feature scaling to ensure model reliability

Python · Ensemble Learning

№ 03

NYC Taxi Trip Duration Prediction

Built a regression model to predict taxi trip durations. Conducted advanced Feature Engineering, specifically applying Sine and Cosine transformations to temporal data (hours/days) to represent cyclical patterns accurately. Improved model accuracy through hyperparameter tuning

Python · Regression

03—Experience

2026 — 2026

InternshipFlyRank

Built a scalable e-commerce search API serving 150k daily search queries using Elasticsearch and Python. Improved search relevance by 30% and reduced query latency by 25%, resulting in a 15% increase in sales conversions. Mentored 1 junior engineer on Elasticsearch configuration and optimization.

04—Practice

Tools & craft

Python·

Supervised Learning (Regression & Classification)·

Ensemble Methods (Random Forest)·

NumPy·

Pandas·

Scikit-learn·

Matplotlib·

Neural Networks Fundamentals·

Convolutional Neural Networks (CNNs)·

Recurrent Neural Networks (RNNs)·

LSTM·

Image Classification·

Object/Action Recognition·

SQL·

Relational Database Design·

Data Warehousing & ETL concepts

05—Credentials

Education

2021 — 2025

Bachelor of Computers and Artificial Intelligence, Information Systems (IS)

Helwan University, Cairo, Egypt

Major: Information Systems (IS). Focused on Machine Learning, Database Management, and Intelligent Systems. Completed several hands-on projects involving data analysis and predictive modeling.

Certifications

Introduction to Data Analytics

Coursera from IBM · 2023

Database Fundamentals

Mahara-Tech from (Information Technology Institute - ITI) · 2025

AI For Everyone (AI4E)

Mahara-Tech from (ITI - Artificial Intelligence Academy) · 2026

Practical Machine Learning for Data Scientists

Mahara-Tech from (ITI - Artificial Intelligence Academy)

Machine Learning Diploma

CSKILLED ACADEMY · 2026

06—Contact

Get in touch

Have something in mind? Let's talk.