Available for opportunities
Hello, I'm
Moustafa Mohamed
|
0
Projects Completed
0
Certifications
0
Published Library
Top 5%
Kaggle Expert
Hello, I'm
|
Projects Completed
Certifications
Published Library
Kaggle Expert
I'm a passionate Software Engineering student specializing in Artificial Intelligence and Data Science, with a mission to build intelligent systems that solve real-world problems.
Currently pursuing Bachelor's in Software Engineering at Istanbul Topkapi University, with a focus on AI and Data Science. Building a strong foundation in algorithms, system design, and cutting-edge AI technologies.
Passionate about the entire data pipeline - from ETL processes to deploying production-ready ML models. I combine theoretical knowledge with practical implementation to deliver impactful solutions.
Led a team of three interns in developing AI-powered computer vision solutions, focusing on model performance, interpretability, and reproducibility. Designed CNN architectures and implemented advanced techniques for image analysis tasks.
Recognized as a Notebooks Expert on Kaggle with multiple medal achievements. Actively contribute to the data science community through high-quality notebooks, discussions, and knowledge sharing.
Advanced Data Cleaning & EDA with OOP Design
A powerful, lightweight Python library designed to simplify and accelerate data cleaning and exploratory data analysis workflows. Features OOP design with method chaining, intelligent preprocessing, beautiful visualizations, and comprehensive HTML reports with YAML-based configuration.
Heatmaps, correlations & distributions
Intelligent standardization & outlier handling
Fluent OOP API for readable pipelines
Interactive reports with embedded plots
Flexible configuration system
Command-line with subcommands
# Install datacmp
pip install datacmp
# OOP API with method chaining
from datacmp import DataCmp
cmp = DataCmp("data.csv")
cmp.clean().profile().export("report.html")
# Functional API
from datacmp import run_pipeline
df = run_pipeline(
data="data.csv",
export_report_path="report.html"
)
Automatically Generate AI-Powered Tools & Chatbots
A powerful Python framework that automatically generates and runs Streamlit-based AI tools and chatbots, or exports them as full HTML/CSS/JS websites. Create production-ready AI applications with a single command.
Create AI tools with one command
Chatbot, Blog Gen, Data Analyzer & more
Streamlit apps or standalone websites
Gemini, OpenAI, Anthropic
# Install AIToolMaker
pip install aitoolmaker
# Quick start
from aitoolmaker import AIToolMaker
# Create and run a chatbot
tool = AIToolMaker(
api_key="YOUR_API_KEY",
model="gemini-2.0-flash"
)
tool.create_tool(
tool_type="chatbot",
output="streamlit",
run=True
)
Comprehensive AI-powered toolkit featuring blog generation, SQL query builder, document summarization, and code explanation. Powered by Gemini and LLaMA 3.2 with advanced RAG implementation.
Collection of Large Language Model projects featuring AI assistants, chatbots, and specialized tools. Includes implementations with Gemini API, prompt engineering, and various AI-powered applications.
Comprehensive collection of ML projects demonstrating various algorithms and real-world applications. Includes complete pipelines from data preprocessing to model deployment.
Advanced deep learning projects showcasing neural networks, computer vision, and generative models. Features CNN architectures, GANs, and transfer learning implementations.
Udemy
August 2025IBM (Coursera)
October 2024I'm actively seeking internship opportunities and exciting projects in AI/ML and Data Science. Whether you have an innovative idea, need technical expertise, or just want to discuss the latest in AI - I'd love to hear from you!