Ahmed Ayman
AA

Hi,

I create stuff sometimes.

AI Engineer and Data Scientist (IS background) specializing in RAG, NLP, and automation, building end-to-end agents and predictive models. Passionate about bridging the gap between raw data and functional AI products.

Say hi!
Professional Journey

Experience

AI Engineer @ Konecta

Jul 2025 - Present
  • Collected, cleaned, and structured data using Python and web scraping tools to support reliable analysis and modeling.
  • Built and optimized machine learning models (classification, clustering, image recognition) and implemented RAG-based chatbots with embeddings, document indexing, and multi-turn conversations.
  • Automated data and AI workflows using n8n, improving efficiency and reducing manual processing.
Portfolio

Featured Projects

Nawy Property Recommender

Nawy Property Recommender

AI-powered property consultant featuring semantic search for 9,000+ listings, RAG-based chatbot for area insights, property comparisons, and XGBoost price prediction. Personalized via dynamic preference tracking stored in MongoDB.

Next.js
FastAPI
LangChain
+6
Live Demo
Code Repo
FCAI USC Regulations Chatbot

FCAI USC Regulations Chatbot

Built a bilingual (English/Arabic) RAG chatbot to query the Faculty of Computer & Artificial Intelligence (USC) internal regulations. Uses Google Gemini with ChromaDB for semantic retrieval and provides accurate, context-aware answers via a web interface.

RAG
LangChain
FastAPI
+5
Live Demo
Code Repo
Semantic Book Recommender

Semantic Book Recommender

Developed a web-based Semantic Book Recommender utilizing LLMs, encompassing data cleaning, vector database creation for semantic search, zero-shot text classification (fiction/non-fiction), sentiment analysis for tone-based sorting, and a Gradio interface for user interaction.

Python
langchain-chroma
langchain
+4
Live Demo
Code Repo
Campaign Conversion Predictor

Campaign Conversion Predictor

Built a machine learning model to predict customer conversion in digital marketing campaigns using demographic and engagement data. Deployed a Gradio web app for real-time predictions with a Random Forest model.

Python
Scikit-learn
Gradio
+2
Live Demo
Code Repo
Portfolio-Website

Portfolio-Website

This modern, responsive portfolio website showcases Ahmed Ayman's skills and projects as a Data Scientist and ML Engineer, featuring dark/light mode, smooth animations, and an interactive user experience built with HTML, CSS, and JavaScript.

Javascript
HTML
CSS
Live Demo
Code Repo
Nawy Property Recommender
AI-powered property consultant featuring semantic search for 9,000+ listings, RAG-based chatbot for area insights, property comparisons, and XGBoost price prediction. Personalized via dynamic preference tracking stored in MongoDB.
Next.js•FastAPI•LangChain•ChromaDB•MongoDB•XGBoost•RAG•Docker•Playwright
FCAI USC Regulations Chatbot
Built a bilingual (English/Arabic) RAG chatbot to query the Faculty of Computer & Artificial Intelligence (USC) internal regulations. Uses Google Gemini with ChromaDB for semantic retrieval and provides accurate, context-aware answers via a web interface.
RAG•LangChain•FastAPI•LLMs•HuggingFace•ChromaDB•Next.js•Docker
Semantic Book Recommender
Developed a web-based application utilizing LLMs, encompassing data cleaning, vector database creation for semantic search, zero-shot text classification (fiction/non-fiction), sentiment analysis for tone-based sorting, and a Gradio interface for user interaction.
Python•langchain-chroma•langchain•Pandas•fastapi•Docker•Next.js
Campaign Conversion Predictor
Built a machine learning model to predict customer conversion in digital marketing campaigns using demographic and engagement data. Deployed a Gradio web app for real-time predictions with a Random Forest model.
Python•Scikit-learn•Gradio•EDA•Machine Learning
Portfolio-Website
This modern, responsive portfolio website showcases Ahmed Ayman's skills and projects as a Data Scientist and ML Engineer, featuring dark/light mode, smooth animations, and an interactive user experience built with HTML, CSS, and JavaScript.
Javascript•HTML•CSS
Movie Review Sentiment Analysis
A movie sentiment analysis application using three models to predict review sentiment through an interactive Gradio web interface.
scikit-learn•transformers•tensorflow•gradio
Continuous Learning

Courses & Certifications

View All Certificates
Technical Expertise

Skills

SQL
Python
NumPy
Pandas
Matplotlib
Seaborn
Scikit-learn
LangChain
TensorFlow
PyTorch
Docker
Git
GitHub
Tableau
Power BI
Next.js
HTML
CSS
JavaScript
TypeScript
Get In Touch

Contact

I'm eager to join a data-driven team where I can apply my passion for AI, machine learning, and problem-solving to create meaningful impact.
Got a project in mind or looking to collaborate? Let's connect!

ahmedalhofy42@gmail.com