Identifying First/Last Mile Deserts & Segmenting Human Mobility Behavior
Two co-authored research posters on urban mobility, presented at NetMob 2025 and published in the official Book of Abstracts.
Hi, my name is
Reem Hussin Arafa.
AI & Data Science Engineer
I build intelligent systems — from LLM-powered tutors and grammar-correction pipelines to urban mobility research published at international venues.
01About
I'm an Artificial Intelligence student at Nile University (GPA 3.7, President's Honor — ranked #1), specialising in machine learning, NLP, and generative AI. My work spans the full pipeline: framing the problem, wrangling the data, training and tuning models, and shipping something people can actually use.
I've presented urban mobility research at NetMob 2025 in Paris, published with IEEE, and interned at EVA Pharma applying LLMs to real pharmaceutical data. Alongside research, I've spent over two years as a teaching assistant — mentoring students, debugging their code, and learning how to explain hard ideas simply.
02Skills
Core AI
Models & LLMs
Frameworks & Libraries
Data & Analytics
MLOps & Tooling
03Experience
Jul 2025 – Aug 2025 · Cairo
AI & Data Science Intern — Hackathon Track @ EVA Pharma
- Selected from a national hackathon for a competitive internship focused on Generative AI, LLMs, and deep learning.
- Applied advanced AI concepts to a hands-on project using real-world pharmaceutical data under mentor guidance.
- Developed and presented a final data-driven solution to company stakeholders.
Jul 2024 – Sep 2024 · Giza
Research Intern — Data Analysis & Machine Learning @ Nile University
- Spearheaded an end-to-end ML research project that resulted in a peer-reviewed paper submission with novel findings.
- Built robust classification and prediction models, managing the full pipeline from preprocessing to hyperparameter optimisation.
- Used Python (scikit-learn, Pandas) for deep statistical analysis, achieving significant improvements in model performance.
Sep 2023 – Jan 2026 · Giza
Junior Teaching Assistant — Computer Science @ Nile University
- Supported professors in CS courses, reinforcing complex subject matter through lectures and personalised assistance.
- Mentored students through lab sessions — guiding programming assignments, debugging code, and building problem-solving skills.
04Research & Publications
Deep Learning-Based Correlation Analysis of Public Transit and Ride-Sharing: Urban Mobility Patterns in Paris
Published in the IEEE International Conference on Computer and Applications (ICCA).
05Projects
MediLearn — VR + AI Tutor for Medical Education
An interactive VR anatomy learning experience with a fine-tuned LLM tutor built in.
- Built a real-time VR anatomy experience in Unity for Meta Quest with organ interaction and voice navigation.
- Fine-tuned a Llama-3-8B tutor, evaluated against alternative architectures, to answer questions, generate adaptive quizzes, and personalise learning.
Credit Risk IDSS
An intelligent decision-support system for assessing credit risk, with explainable model outputs and an analyst-friendly interface.
Grammar Feedback for Language Learning
A grammar correction system reaching 96% accuracy by ensembling three models.
- Engineered a correction pipeline combining T5, GECToR, and CoEdit models.
- Added a BERT-based validation layer that flags grammatical errors and generates context-aware corrections.
Real-Time Emotion Recognition
Multimodal emotion detection from face and voice, running in real time.
- Built a CNN-based Mini-XCEPTION model for facial expressions and a voice model trained on RAVDESS and CREMA-D.
- Fused vision and audio into a single responsive interface with OpenCV and TensorFlow.
AI Smart Personal Assistant Robot
An autonomous assistant combining conversational intelligence, robotics control, and practical task support.
Ancient Egyptian Hieroglyphs Translator
A cultural AI project that recognises hieroglyphic symbols and translates them into accessible text.
AI-Driven Carotid Plaque Segmentation & Classification
A medical imaging workflow for segmenting and classifying carotid plaque patterns with predictive modeling support.
Diabetes Predictive Modeling
A tabular machine learning project predicting diabetes outcomes with a focus on reliability and interpretability.
Streaming Traffic Prediction — Paris & Marseille
Forecasting YouTube, Spotify, and Netflix traffic patterns in urban environments.
- Predicted streaming traffic from historical datasets using machine learning models.
- Evaluated accuracy via RMSE to extract insights for urban planning and network management.
Secure Blockchain-based E-Voting System
A secure voting system exploring blockchain-backed trust, transparency, and verifiable digital participation.
Course Schedule Maker
A scheduling tool built to simplify course planning and reduce manual coordination friction.
xv6 System Call Tracer
An operating-systems project centred on tracing and inspecting xv6 system call behaviour.
Ultimate Tic Tac Toe
A strategy game implementation with a clean interface and an AI opponent built around gameplay flow.
06Education
2022 – 2026 · Giza, Egypt
B.Sc. in Artificial Intelligence
Nile University — Faculty of Computer and Information Technology
GPA 3.7
- 🏅 President's Honor — Spring 2024 (4.0 GPA, Ranked #1)
- 🏅 Dean's Honor for sustained academic excellence — Fall 2025