Open to opportunities

Omar Tarek

@omartarek2

Message

AI Engineer building end-to-end ML systems from ETL to full-stack deployment.

Egypt

Message

What I'm looking for

I want to build end-to-end AI products—ETL, modeling, and deployment—while collaborating with a team. I’m especially interested in full-stack AI features that combine computer vision, speech-to-text, and clean, reliable backends.

I’m an AI Engineer with hands-on experience across the full ML lifecycle—from ETL and data modeling to model training and full-stack deployment. I built a per-question, computer-vision-based behavioral feedback feature in a full-stack AI interview platform, integrating real-time scoring with speech-to-text transcription via Whisper.

I’ve also delivered high-impact data and modeling work under tight hackathon timelines, including a normalized CSV-to-relational-database ETL pipeline (3NF schema across 5 tables) and customer segmentation/CLV modeling using K-Means (k=4) and a Random Forest Regressor. In team development, I resolved a recurring environment-setup failure blocking Windows development and helped stabilize the build pipeline for everyone.

Experience

Work history, roles, and key accomplishments

Current

AI Backend Engineer Intern

Current

FlyRank

Jul 2026 - Present (1 month)

Building and maintaining backend APIs and website infrastructure using FastAPI, supporting features from design through deployment. Contributing to a large-scale capstone project as part of the engineering team.

fastAPI Backend Development API Development Deployment

Current

Full-Stack & ML Engineer

Current

Neural-Knights

Jan 2025 - Present (1 year 7 months)

Built a per-question computer-vision behavioral feedback feature for a full-stack AI interview platform with real-time candidate scoring. Implemented the FastAPI/SQLAlchemy/Alembic backend, integrated Whisper for speech-to-text transcription, and resolved a recurring Windows environment setup failure.

Computer Vision fastAPI SQLAlchemy Alembic Whisper Speech to Text React Debugging

Data Intelligence Track

IntelliShift Hackathon

Jan 2026 - Present (7 months)

Designed a CSV-to-relational ETL pipeline normalizing a retail sales dataset into a 3NF schema and applied K-Means clustering for RFM customer segmentation. Built a Random Forest regressor to predict CLV and co-presented the retention-focused results to judges.

ETL CSV Relational Databases SQL Random Forest Data Modeling Customer Segmentation Python Pandas NumPy

AI Hackathon Participant

Beltone x American University in Cairo

Developed a graph-based route-optimization solution connecting warehouses to delivery locations at minimum distance and cost. Implemented Dijkstra’s algorithm and greedy heuristics in Python to build a working routing prototype.

Route Optimization Graph Optimization Algorithms Dijkstra’S Greedy Heuristic Python

AI & Machine Learning Engineer Trainee

DEPI

Trained and evaluated machine learning and NLP models in Python using scikit-learn. Applied data preprocessing, feature engineering, and structured performance evaluation across multiple model iterations.

Python scikit learn NLP data preprocessing Feature Engineering Model Evaluation

AI & Machine Learning Engineer Trainee

DEPI (Digital Egypt Pioneers Initiative)

Trained and evaluated machine learning and NLP models in Python using scikit-learn. Performed data preprocessing, feature engineering, and structured performance evaluation across multiple model iterations.

NLP Python scikit learn data preprocessing Feature Engineering Model Evaluation

Education

Degrees, certifications, and relevant coursework

Faculty of Computers and Artificial Intelligence, Cairo University

Bachelor of Computer Science, Computer Science

Pursuing a Bachelor of Computer Science at the Faculty of Computers and Artificial Intelligence, Cairo University, with an expected graduation in 2027.