Research Trainee
BASIRA Lab, Imperial College London · Dec 2025 - Present
Working on graph neural network architectures for medical imaging and brain connectivity analysis under the GNN for Rising Stars program.
AI Resume
AI and Data Engineer
I develop applied AI systems from research to implementation, with strengths in graph learning, NLP workflows, and robust predictive modeling for real-world products.
Primary Strength
Research to deployment
Current Focus
Medical GNN and NLP systems
Applied Domains
Health-tech and optimization
Experience
AI Engineering Intern
Kabas · 2025
Built DFVL predictive models on petroleum drilling data to forecast drilling mud test outcomes from concentration variables.
AI Engineer Intern
CyberTalent · 2025
Fine-tuned language models to generate automated CTF writeups from challenge metadata and technical context.
AI Intern
CERIST · 2025
Developed a recommendation system for smart parking predictions based on user point-of-interest behavior.
Challenge Author and Mentor
HAICK · Sep - Dec 2025
Designed a Vehicle Routing Problem with Time Windows challenge with hybrid heuristics and reinforcement-learning inspired strategies.
Research and Projects
Graph-Based 3D Protein Structure Prediction
PyTorch, GNN
Predicted 3D protein structures directly from amino acid sequences using graph-based spatial modeling.
Spiking Neural Networks for Retinal Disease
SNN, EfficientNet Comparison
Compared energy efficiency and performance of SNN architectures versus EfficientNet in medical classification.
DFVL Predictive System
Python, ML, Industrial Data
Created forecasting models for drilling fuel lab tests using real datasets from Algerian petroleum companies.
Automated CTF Writeup Generator
LLM Fine-tuning, NLP
Built a system that generates cybersecurity challenge writeups with model-driven reasoning and structure.
Financial AI Assistant
ML, NLP
Designed expense prediction, goal planning, and recommendation workflows for personal finance decisions.
PFSS Optimization with GNN
GNN, Attention, Heuristics
Applied graph learning and NEH-inspired heuristics to optimize permutation flow shop scheduling tasks.
AI Stack
Frameworks
TensorFlowPyTorchScikit-learnOpenCVLangChainPandasNumPy
Domains
NLPComputer VisionGraph Neural NetworksReinforcement LearningPredictive Analytics
Engineering
FastAPIDockerPostgreSQLModel EvaluationData Pipelines
Education
Master in Computer Science Engineering
2022 - Present
Ecole Nationale Superieure d'Informatique (ESI), Algiers.
Certifications
- Kaggle and DeepLearning.AI Machine Learning Specialization
- DataCamp Deep Learning and NLP tracks
- Kaggle Computer Vision certification
Community
Active member in Arab in Neurosciences and lead contributor in regional AI communities through mentoring and workshops.