Engineering systems. Working with data. Turning complexity into useful solutions.
I'm an AI & Computer Engineering graduate from ENSAM Casablanca, working at the intersection of software engineering, data, and financial technology.
My experience spans backend development, data processing, database engineering, reporting automation, and AI/ML. I'm particularly interested in building systems where clean engineering and meaningful data come together.
Currently, I'm strengthening my expertise in Data Analytics and Business Intelligence, with a focus on SQL, Power BI, DAX, Python, and data visualization.
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I build and modernize business applications with a focus on maintainability, APIs, databases, and scalable architecture. Focus areas
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I work with data from extraction and transformation to analysis, visualization, and reporting. Focus areas
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My academic background is rooted in AI, with hands-on experience across machine learning and deep learning workflows. Focus areas
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I currently work on software solutions in the finance and actuarial domain, combining business rules with technical implementation. Focus areas
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Power BI · DAX · Power Query · SQL · Data Modeling · EDA · KPI Analysis
Spring Boot · Spring Data JPA · Hibernate · REST APIs · Microservices
Flyway · Swagger / OpenAPI · Jira · Scrum · Prisma · Cloudinary
Contributing to the modernization of a legacy VB6 financial/actuarial application, transitioning business functionality toward a modern web architecture.
Architecture
VB6 → Java / Spring Boot → REST APIs → Vue.js → SQL Server
Work includes
- Translating legacy business logic into modern services
- Developing Spring Boot APIs
- Designing and maintaining database structures
- SQL Server migration
- Implementing business rules and reporting workflows
- FR13 and regulatory reporting functionality
- SFCR-related processes
- API documentation
- Database versioning with Flyway
This work combines software engineering, domain knowledge, data, and business requirements.
An automated data-processing workflow designed to extract structured information from SFCR PDF reports and populate standardized reporting templates.
Pipeline
PDF → Extraction → Parsing → Validation → Structured Data → Excel
Technologies
Python · Pandas · pdfplumber · Camelot · Regex · Excel
The project focuses on reducing manual reporting work and making unstructured regulatory documents easier to process.
A modern web application for an accessories business, designed around product discovery and structured product management.
Stack
Next.js · TypeScript · Tailwind CSS · Prisma · MySQL · Cloudinary
Academic and personal work covering the complete ML workflow:
Data → Exploration → Preprocessing → Modeling → Evaluation → Visualization
Areas include:
- Classification
- Regression
- Feature engineering
- Exploratory Data Analysis
- Machine Learning
- Deep Learning
- Model evaluation
Stack
Python · NumPy · Pandas · Scikit-learn · TensorFlow · Keras · PyTorch
I'm currently deepening my expertise in Data Analytics & Business Intelligence.
DATA
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SQL Python
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DATA ANALYSIS
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POWER BI + DAX
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VISUAL INSIGHTS
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BUSINESS DECISIONS
My goal is to combine my engineering background with strong analytical skills to build solutions that are both technically robust and useful from a business perspective.
🎓 ENSAM Casablanca — Artificial Intelligence & Computer Engineering
Engineering degree with a focus on:
Artificial Intelligence · Software Engineering · Data · Computer Science
- Huawei HCIA — Artificial Intelligence
- Coursera — What is Data Science?
I enjoy learning across disciplines and continuously experimenting with new technologies.
I'm particularly interested in:
AI · Data · Business Intelligence · FinTech · Automation · Software Architecture
I believe good engineering is not only about writing code — it's about understanding the problem, simplifying complexity, and building something that creates value.
AI • Software • Data • Engineering