About
Highly motivated AI/ML Engineer with a Bachelor's in Computer Science and hands-on experience in developing, deploying, and optimizing machine learning models. Proficient in Python, PyTorch, TensorFlow, and AWS SageMaker, adept at solving complex data-driven problems and contributing to innovative AI solutions. Seeking to leverage strong analytical and technical skills to drive impactful projects in a dynamic technology environment.
Work
DECI
|Part-Time Instructor
Cairo, Cairo, Egypt
→
Summary
Empowered teenagers to develop essential coding skills through engaging project-based learning and guided instruction using diverse educational tools.
Highlights
Instructed and mentored numerous teenagers in developing foundational coding skills through hands-on project-based learning initiatives.
Guided students in both text-based and block-based coding methodologies, utilizing platforms such as Blockly, Robomind, and MIT App Inventor.
Designed and delivered engaging curriculum content, fostering problem-solving abilities and computational thinking among students.
Freelance
|Freelance Developer
Remote, Remote, US
→
Summary
Provided specialized data cleaning and web scraping services, optimizing data processing for Linux-captured time series and stock market data.
Highlights
Performed JSON data cleaning for Linux-captured time series data using Pandas, processing large datasets to ensure data integrity and usability.
Developed and executed web scraping tasks to extract stock data from specified symbols in text files, converting raw data into an executable format for analysis.
Automated data collection and preparation processes, reducing manual effort and improving data pipeline efficiency for clients.
DEPI
|AWS Machine Learning Intern
Cairo, Cairo, Egypt
→
Summary
Contributed to AWS cloud architecture and machine learning initiatives, enhancing foundational knowledge and practical application within a dynamic environment.
Highlights
Engaged in hands-on projects focusing on AWS cloud infrastructure, architecting scalable solutions for machine learning workflows.
Participated in the AWS Academy Cloud Foundation & Architecting program, gaining expertise in cloud services and deployment strategies.
Completed the AWS Machine Learning Foundation curriculum, building a strong theoretical and practical understanding of ML principles and tools.
AI Training Data Provider
|Software Engineer for AI Training Data
Cairo, Cairo, Egypt
→
Summary
Evaluated and optimized AI-generated code quality, ensuring robust model development through functional and efficient coding solutions.
Highlights
Evaluated the quality of AI-generated code, providing human-readable summaries and rationales to improve model output and performance.
Resolved complex coding problems and developed functional, efficient code solutions to enhance AI training data pipelines.
Implemented quality assurance protocols for AI-generated content, significantly reducing potential error rates and improving data integrity.
unify.ai
|Machine Learning Contributor
Remote, Remote, US
→
Summary
Implemented and rigorously tested the jax.lax.scan function for the unify.ai frontend, enhancing numerical computation capabilities and codebase reliability.
Highlights
Implemented the `jax.lax.scan` function for the unify.ai frontend, enhancing its numerical computation capabilities and performance.
Developed comprehensive unit tests for the newly integrated function, ensuring robustness and reliability of the codebase.
Collaborated with the development team to integrate new features, contributing to the overall stability and functionality of the platform.
Education
Udacity
→
Nanodegree Program
Machine Learning Fundamentals
Ain Shams University
→
Bachelor
Computer Science
Udacity
→
Nanodegree Program
AI Programming with Python
Languages
Arabic
English
Certificates
CCNA
Issued By
Cisco
Skills
Programming Languages
Python, C++.
Machine Learning & AI
Deep Learning, Supervised Learning, Computer Vision, Natural Language Processing (NLP), Transfer Learning, Hyperparameter Tuning, Model Deployment, AI-generated Code Evaluation, YOLOv8, ResNet, AutoGluon.
Libraries & Frameworks
PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, NLTK, SpaCy, OpenCV, BeautifulSoup, Selenium, MediaPipe.
Cloud Platforms & Tools
AWS Cloud, AWS SageMaker, Google Colab, Jupyter, GitHub, Docker, N8N, TensorBoard.
Databases & OS
SQL, Linux, Bash/Shell Basics.
Data Science & Engineering
Data Cleaning, Data Preprocessing, Data Manipulation, Data Visualization, Web Scraping, Time Series Data Analysis.
Software Development
Functional Programming, Efficient Code, Unit Testing, Problem Solving.
Instruction & Mentorship
Project-Based Learning, Curriculum Development, Student Guidance.
Projects
Landmark Classification and Tagging for Social Media
→
Summary
Built and optimized deep learning models with CNNs and PyTorch for automatic landmark classification and image tagging, leveraging Transfer Learning and AWS SageMaker.