AmiraMohammedi
Building intelligent systems at the intersection of High-Performance Computing and AI — from medical deep learning to social impact data science.
Engineer.
Researcher.
Problem Solver.
I hold a Master's degree in Computer Science specializing in High Performance Computing (HPC) & Artificial Intelligence from USTHB University, Algiers.
My work focuses on developing and deploying Machine Learning and Deep Learning models for real-world applications — from medical recommendation systems to social impact data projects.
I thrive in remote, international environments and believe technology should serve humanity.
What I
Work With
My
Journey
Canada (Remote)
- Built a therapeutic recommendation system for knee osteoarthritis using KneeKG™ data
- Trained Deep Learning models for personalized medical recommendations
- Evaluated models using accuracy, F1-score, and AUC metrics
- Managed full project lifecycle in a remote international environment
International Event
- Social-impact data analysis projects
- Collaborated with international multidisciplinary teams
- Applied data science to humanitarian datasets
- Data cleaning, preprocessing and analysis
- Interactive dashboards with Tableau and Matplotlib
- Applied ML algorithms with scikit-learn
Algiers
- System testing, installation and maintenance
- Software configuration and OS deployment
What I've
Built
Deep Learning system for personalized therapeutic recommendations for knee osteoarthritis. Built during my internship at TÉLUQ, Canada.
View on GitHub →Computer Vision model for real-time fire detection using deep learning and image classification techniques.
View on GitHub →Deep Learning model for real-time face analysis — predicting age and gender from images using CNN architecture.
View on GitHub →Real-time object detection system leveraging YOLO architecture for accurate and fast identification.
View on GitHub →End-to-end machine learning projects covering regression, classification, deployment and model evaluation.
View on GitHub →Data science project with humanitarian focus, developed during DataKind 2025 international event with global teams.
View on GitHub →Always
Learning
Let's Work
Together
Open to remote opportunities in ML, AI and data science — especially projects with social impact.