Hi,

I create stuff sometimes.

I'm an aspiring Data & ML Scientist, currently studying IS at the Faculty of Computers & AI, USC. Passionate about using data to solve everyday challenges and applying AI to create practical, impactful solutions.

Say hi!

Professional Journey

Experience

AI/ML 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

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

Flask

Live Demo

Code Repo

FCAI USC Regulations Chatbot

RAG•LangChain•Flask•Gemini•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

Retail Analytics Copilot

A Hybrid RAG + SQL Agent using LangGraph and DSPy. Deployed on Hugging Face Spaces, powered by Phi-3.5 (3.8B) and Gemini models. Supports batch processing and JSON input/output.

Python•LangGraph•DSPy•SQLite•RAG•Streamlit•Docker

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

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