Mina Heinein

AI & Digital Health engineer. I research medical-imaging AI and build the software around it.

M.Sc. (M2) AI & Digital Health, Université PSL — from Sept 2026 B.Sc. Systems & Biomedical Engineering, Cairo University

Looking for an M2 research internship and part-time work in medical AI or software engineering. Based in Paris from September 2026; French B2, English IELTS 8.0.

Publications

MedHyperGraph: EHR-Integrated Multimodal Hyperedges for Clinical VQA

2026

M. Heinein*, M. Youssef*, K. Nashed*, T. Basha, H. M. T. Alam, A. M. Selim, O. S. Bhatti, D. Sonntag

LocSAM3: Box-Supervised Adaptation of SAM3 for Text-Only Chest X-Ray Segmentation

2026

K. Nashed*, M. Heinein*, M. Youssef*, T. Basha, H. M. T. Alam, A. M. Selim, O. S. Bhatti, D. Sonntag

Education

M.Sc. (M2) in AI and Digital Health (ST4Health) — Université PSL

2026–2027

Paris, France

B.Sc. in Systems & Biomedical Engineering — Cairo University

2021–2026

Cairo, Egypt

Experience

Software Engineering Intern — EJADA

Aug–Sep 2025

Web Development Intern — NAID

Jul–Sep 2024

Selected projects

SignalSuite Toolkit

Python · PyQt5

Eduokee

React · Node · Spotify API

Puppets.eg

React · Express · MongoDB

AVR-Based Smart Home System

Embedded C · ATmega32 · ESP32

Computer Vision Toolkit

Python · OpenCV

Chess Game

Java · Swing

Courses and certifications

ALX Software Engineering Programme — front-end specialisation

Nov 2024

ITI Embedded Systems Diploma

Aug 2024

Technical skills

Languages
C, Python, Java, JavaScript, Bash
AI / ML
PyTorch, RAG & GraphRAG, knowledge graphs and hypergraphs, vision-language models, LLM-based evaluation, ontologies (SNOMED CT)
Frameworks
.NET, React, Node.js, NestJS, Flask
Libraries
OpenCV, NumPy, Pandas, Matplotlib, OpenGL
Databases
MongoDB, MySQL, PostgreSQL, Neo4j
Tools
Microsoft Dynamics 365, Linux, Git, Qt, SOAP & REST APIs
Embedded
AVR (ATmega32), ARM (STM32)

Languages

English
IELTS Academic Band 8.0
French
B2
Arabic
Native

Other