ABDELRAHMAN MOHAMMED +20 1211824202 | abdulrahmanmohmmed376@gmail.com | LinkedIn | GitHub | Portfolio SUMMARY AI/ML-focused developer with hands-on experience building NLP and machine learning applications using Python, scikit-learn, PyTorch, Transformers, FastAPI, and SQL. Experienced in data preprocessing, model development, text classification, sentiment analysis, and integrating ML models into backend applications. Strong background in data engineering, ETL pipelines, APIs, and Docker, enabling end-to-end development from data processing to AI-powered applications. TECHNICAL SKILLS Programming : Python, SQL, JavaScript, Bash Machine Learning : scikit-learn, XGBoost, Classification, Regression, Clustering, Feature Engineering, Model Evaluation AI / NLP : NLP, Text Classification, Sentiment Analysis, Transformers, Sentence Transformers, NLTK, spaCy Deep Learning : PyTorch, TensorFlow, Neural Networks, CNNs AI Engineering : FastAPI, REST APIs, Model Serving, SQLAlchemy, Docker Data : Pandas, NumPy, ETL, Data Cleaning, Data Validation, PostgreSQL, MySQL, SQLite Tools : Git, Linux, AWS, Postman PROJECTS AI-Powered Complaint Management System | Python, NLP, FastAPI, PostgreSQL 2025 – 2026 • Built an end-to-end platform for collecting, classifying, and analyzing customer complaints. • Developed NLP pipelines for complaint categorization and sentiment analysis using Python and machine-learning models, and integrated the inference layer into FastAPI services to return predictions to the application. • Designed PostgreSQL data models for complaints, predictions, categories, and user information; implemented REST APIs with authentication and role-based access. • Code: github.com/AbdelrahmanMohmmed/complaints LiarBar Multiplayer Game | Node.js, Express, React 2026 • Developed backend APIs supporting multiplayer sessions, player management, and real-time interaction. • Integrated frontend/backend communication including microphone functionality for gameplay. • Built a responsive interface working smoothly on both mobile and desktop browsers. • Live: games.safariyat.live | Code: github.com/AbdelrahmanMohmmed/LiarBar CV Scanner | Python, Deep Learning, Computer Vision 2025 • Built a CV scanning tool that extracts and parses information from resumes using computer vision and NLP techniques. • Applied supervised and unsupervised learning models to classify and structure extracted CV data. • Code: github.com/AbdelrahmanMohmmed/CvScanner League of Legends Auto-Play Bot | Python, Computer Vision, Automation 2025 • Developed an automation bot that queues into League of Legends, accepts matches, enters ARAM games, and plays autonomously. • Used computer vision to detect in-game states, identify match completion, and automatically re-queue for the next game in a continuous loop until stopped. • Code: github.com/AbdelrahmanMohmmed/LOLProject EXPERIENCE Freelance Data & Automation Developer 2024 – 2025 Mostaqel (Freelance Platform) Remote • Automated collection of 500+ company records daily using Python, BeautifulSoup, and Selenium. • Built data-processing workflows for cleaning, validation, deduplication, and structured storage. • Developed Python automation for scheduled data collection, processing, and report generation. AI Training Program 2025 Arabian AI Course Egypt • Completed a comprehensive AI program covering supervised learning, unsupervised learning, and deep learning. • Built a CV Scanner project applying deep learning and computer vision to extract and classify resume data. EDUCATION Alexandria University Alexandria, Egypt B.Sc. in Computing and Data Science 2022 – 2026 • Relevant Coursework: Machine Learning, Deep Learning, Data Mining, Statistical Analysis, Database Systems, Data Structures & Algorithms CERTIFICATIONS & TRAINING DataCamp – AI Engineer Track DataCamp – Data Scientist Track Digital Egypt Pioneers Initiative (DEPI) – Data Engineering Track (ETL, SQL, Azure, Data Pipelines) Scrimba Full Stack Developer Path – REST APIs, Node.js, Express, Authentication, Git LANGUAGES Arabic (Native) | English (Professional Working Proficiency)