Machine Learning in Financial Technology: A Practical Guide
Exploring how ML models transform risk assessment, fraud detection, and algorithmic trading in modern FinTech applications.
Read MoreComputer Science & Data Science student passionate about building intelligent systems and data-driven solutions
const passion = "AI & ML";
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@SpringBootApplication
Passionate about technology and continuous learning
Based in München, Germany
I'm a Computer Science & Data Science student with a passion for artificial intelligence, data engineering, and software development. Currently pursuing my studies at Philipps-Universität Marburg, Germany, with additional master studies in Actuarial Science & Finance at Le Mans Université.
My journey in technology is driven by curiosity and a desire to create impactful solutions. I specialize in building intelligent systems, designing scalable data pipelines, and developing secure backend architectures. With experience spanning AI/ML, cloud computing, and FinTech, I'm committed to driving digital transformation through innovative technology.
I also completed my engineering program at ESPRIT Tunisia, where I developed a strong foundation in software engineering and data science principles.
Multiple universities across Europe
München, Germany
Arabic • French • English • German
Computer Science & Data Science
Marburg, GermanyMaster in Actuarial Science & Finance
Le Mans, FranceEngineering Program
Tunis, TunisiaShowcasing my experience in AI, Data Engineering, and Software Development
Developed comprehensive banking data analysis solutions using Azure and Databricks. Built ETL pipelines with Apache Spark, created interactive dashboards, and implemented ML models for predictive clustering to drive business insights.
Engineered a comprehensive student banking platform featuring advanced budgeting and investment models. Implemented Monte Carlo simulations and Black-Scholes pricing models with Angular frontend, Flask middleware, and Spring Boot backend.
Created specialized learning tools for children with dyslexia using cutting-edge AI. Integrated Text-to-Speech, OCR technology, CNN for alphabet recognition, and a GPT-2 powered chatbot for personalized learning experiences.
Developed a cross-platform insurance management system using Symfony, CodenameOne, and JavaFX. Features centralized SQL database, role-based access control, portfolio management, and comprehensive security measures.
Developed modular ERP solutions and interactive FinTech dashboards for business intelligence. Implemented real-time analytics, automated reporting, and data visualization tools for enterprise decision-making.
Experimental projects in multi-agent systems, reinforcement learning, and AI innovation. Prototyping cutting-edge solutions in distributed AI, autonomous systems, and intelligent decision-making frameworks.
Interactive web application for calculating European option prices using the Black-Scholes model. Features real-time calculations, volatility analysis, Greeks computation, and intuitive visualizations for options trading and risk management.
Interactive research tool implementing optimal catastrophe risk pooling using asymptotic analysis of heavy-tailed loss distributions. Features risk measures (VaR, Expected Shortfall), diversification ratio calculations, and Pareto-optimal allocation for insurance companies and policymakers.
Advanced portfolio optimization using Topological Graph Diffusion Arbitrage for mixed S&P 500 and cryptocurrency assets. Implements graph Laplacian diffusion signals, persistent homology for regime detection, and CVXPY-based mean-variance optimization with market neutrality and robust covariance estimation.
Comprehensive technical expertise across multiple domains
Building intelligent models with TensorFlow, PyTorch, and scikit-learn for predictive analytics and pattern recognition
Designing and implementing scalable ETL pipelines with Apache Spark, Databricks, and cloud platforms
Full-stack development with modern frameworks including Angular, Django, Spring Boot, and Flask
Deploying and managing scalable applications on Azure with automated CI/CD pipelines
Actuarial analytics, IFRS fundamentals, Monte Carlo simulations, and Black-Scholes pricing models
Implementing secure backend architectures with comprehensive security compliance
Building intelligent models with TensorFlow, PyTorch, and scikit-learn for predictive analytics and pattern recognition
Designing and implementing scalable ETL pipelines with Apache Spark, Databricks, and cloud platforms
Full-stack development with modern frameworks including Angular, Django, Spring Boot, and Flask
Sharing knowledge and experiences in tech
Exploring how ML models transform risk assessment, fraud detection, and algorithmic trading in modern FinTech applications.
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Best practices and lessons learned from implementing production-grade data pipelines on Azure Databricks.
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A comprehensive guide to implementing automated deployment pipelines with Azure DevOps and Docker.
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Reflections on my academic journey through Tunisia, France, and Germany, and the unique perspectives gained.
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Key insights and technical skills gained during my data science internship, working with enterprise-scale data.
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How CNNs and GPT-2 can be leveraged to create adaptive learning experiences for children with learning differences.
Read MoreLet's discuss your next project or opportunity