# Ahmed Abdelgelel - AI/ML Engineer | Data Scientist | Software Developer
Source: https://hello.cv/ahmedsayed
Cairo

## Links
- LinkedIn | https://linkedin.com/in/glgl0x00/
- GitHub | https://github.com/glgl0x00/
- Email
- Phone

## 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
### Part-Time Instructor | DECI
Empowered teenagers to develop essential coding skills through engaging project-based learning and guided instruction using diverse educational tools.
- 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 Developer | Freelance
Provided specialized data cleaning and web scraping services, optimizing data processing for Linux-captured time series and stock market data.
- 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.
### AWS Machine Learning Intern | DEPI
Contributed to AWS cloud architecture and machine learning initiatives, enhancing foundational knowledge and practical application within a dynamic environment.
- 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.
### Software Engineer for AI Training Data | AI Training Data Provider
Evaluated and optimized AI-generated code quality, ensuring robust model development through functional and efficient coding solutions.
- 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.
### Machine Learning Contributor | unify.ai
Implemented and rigorously tested the jax.lax.scan function for the unify.ai frontend, enhancing numerical computation capabilities and codebase reliability.
- 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 | Machine Learning Fundamentals
### Ain Shams University | Computer Science
### Udacity | AI Programming with Python

## Languages
- Arabic
- English

## Certificates
### CCNA
Cisco | 2023-01-01

## Skills
### Programming Languages
Proficient
- Python
- C++
### Machine Learning & AI
Proficient
- 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
Proficient
- PyTorch
- TensorFlow
- Keras
- Scikit-learn
- Pandas
- NumPy
- Matplotlib
- Seaborn
- NLTK
- SpaCy
- OpenCV
- BeautifulSoup
- Selenium
- MediaPipe
### Cloud Platforms & Tools
Proficient
- AWS Cloud
- AWS SageMaker
- Google Colab
- Jupyter
- GitHub
- Docker
- N8N
- TensorBoard
### Databases & OS
Proficient
- SQL
- Linux
- Bash/Shell Basics
### Data Science & Engineering
Proficient
- Data Cleaning
- Data Preprocessing
- Data Manipulation
- Data Visualization
- Web Scraping
- Time Series Data Analysis
### Software Development
Proficient
- Functional Programming
- Efficient Code
- Unit Testing
- Problem Solving
### Instruction & Mentorship
Proficient
- Project-Based Learning
- Curriculum Development
- Student Guidance

## Projects
### Security Detection – Graduation Project
https://github.com/GLGL0x00/Security_Detection
Developed a robust security detection system using machine learning, focusing on data preprocessing, YOLOv8 model training, and real-time hand pose detection.
### Bike Sharing Demand Prediction
https://github.com/GLGL0x00/Bike-Sharing-Demand
Analyzed bike-sharing datasets and developed high-performance machine learning models using AutoGluon and SageMaker to accurately predict demand.
### Landmark Classification and Tagging for Social Media
Built and optimized deep learning models with CNNs and PyTorch for automatic landmark classification and image tagging, leveraging Transfer Learning and AWS SageMaker.
### Word Tokenize Lemmatize
https://github.com/GLGL0x00/Word_tokenize_lemmatize
Developed an efficient NLP project for advanced text tokenization and lemmatization, adept at handling multi-word entities using Python, NLTK, and SpaCy.

## Source
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