AI Engineer | Machine Learning | Data Engineering
AI-focused engineer with experience building end-to-end data and machine learning systems, including ETL pipelines, model development, API deployment, and cloud delivery. I turn raw data into production-ready solutions and I am actively seeking co-op and internship opportunities where I can ship meaningful AI products.
Cloud-ready AI products, ETL pipelines, model-serving APIs, analytics dashboards, and practical data systems.
I like taking a project from rough idea to deployed product with clean architecture, measurable impact, and polished UX.
Co-op and internship work where I can contribute to AI engineering, data pipelines, backend systems, and real deployments.
I am an AI-focused engineer with hands-on experience in machine learning, data engineering, and backend development. My work includes building ETL pipelines, training predictive models, deploying FastAPI services, and shaping cloud-ready workflows that move from data collection to user-facing results.
I enjoy projects where technical depth meets real utility. That can be a computer vision system, a retrieval-augmented chatbot, a health application, or a business intelligence pipeline. I aim to build things that are intelligent, scalable, and clearly useful to the people who rely on them.
Python, SQL, Bash, C++, R, front-end development, back-end development
Scikit-learn, TensorFlow, PyTorch, regression, classification, clustering, XGBoost, model evaluation
AWS, Azure, GCP, Terraform, Docker, CI/CD, BigQuery, Snowflake, model serving, REST APIs
Power BI, Tableau, Excel VBA, data warehousing, KPI analysis, automation, SCRUM, Jira
Project Spotlight
Health-E is the strongest example of how I like to build: one idea expanded into multiple surfaces, clear user flows, and a real deployment story. It combines application structure, backend thinking, and a more product-driven feel than a typical student project.
Patient-facing flow with a cleaner interactive experience and cloud deployment.
Dashboard layer for visibility, monitoring, and a stronger product ecosystem.
AI-assisted workflow for tailoring resumes to job opportunities with stronger positioning.
Open live appBrowse Health-E-2.0, ai-job-intel-resume-optimizer, portfolio work, labs, and other deployed experiments.
View repository listBuilt a computer vision pipeline with Python, OpenCV, deep learning, and FastAPI to visualize clothing fit through image processing and garment overlay.
Designed a document intelligence system with retrieval, embeddings, vector indexing, GPT-based generation, FastAPI, Docker, and cloud deployment.
Built classification workflows with Random Forest and XGBoost, including feature engineering, tuning, evaluation, and production-style inference.
Designed and deployed REST APIs for machine learning predictions with scalable backend architecture and modular production-ready structure.
Developed ingestion and transformation flows for streaming data, with scheduling, logging, and error handling for reliable analytics and ML use cases.
Integrated multiple sources into a warehouse, optimized SQL for analytics, and connected dashboards in Power BI and Tableau for business reporting.
Durham College, Canada
Admitted into the work term co-op option and seeking a co-op role from May to Aug 2026.
International University of Rabat, Morocco
Toronto Metropolitan University, Canada
Universite of Mohammed, Morocco
I want to keep building applied AI systems that combine data pipelines, model intelligence, APIs, and polished user-facing experiences. The best role for me is one where I can help move products from idea to deployment with both technical depth and practical business value.