Jaafar Benabderrazak

Leading architectural initiatives for next-generation AI integration protocols and multi-agent coordination patterns within enterprise banking infrastructure. - Architected design patterns for Model Context Protocol (MCP) enabling seamless AI agent orchestration across distributed systems. - Drove proof-of-concept implementations for Agent-to-Agent (A2A) protocol, establishing communication standards for autonomous service coordination. - Delivered technical blueprints for scalable AI infrastructure supporting compliance-first financial services environments. - Collaborated with cross-functional teams to define best practices for agentic workflows and LLM system integration at enterprise scale.

Design and deployment of a fraud detection system using ML for the TER network, achieving the following results: - Developed a complete pipeline integrating 7+ data sources (ticketing, weather, events, socio-economic) with 200+ features generated. - Achieved a fraud detection rate of 79% and an F1-score of 0.73 through binary classification (AUC-ROC > 0.85). - Created regression models to estimate potential fraud volumes with RMSE < 15%. - Implemented automated systems for data collection, cleaning, and monitoring. - Produced actionable insights on temporal patterns and socio-economic factors influencing fraud.

- Image Search Optimization at Excavation Sites : Developed a machine learning algorithm to automatically classify images as "excavations" or "non-excavations." Integrated the model into the database to process both existing and new images. Implemented an advanced search tool for efficient filtering and retrieval of classified images. Automated the image classification process, significantly reducing manual sorting efforts. - Gas Propagation Tool ; Created Python models to predict gas dynamics in pipelines using time series data. Standardized and integrated data from various stations for uniform analysis. Established automated processes for running predictive models using AWS Lambda. Leveraged AWS S3 for secure and organized data storage. - Doc and Code Chatbot (LLM) : Managed the development and deployment of a chatbot for querying documentation stored on Confluence. Oversaw project management tasks, including operational coordination and team workload planning. Provided regular reporting on project progress to stakeholders. - Maintenance and Support for Prediction Tools: Implemented continuous monitoring of prediction tools to proactively identify and resolve issues. Organized training sessions on tools and best practices for data scientists. Provided support for debugging and optimizing scripts and models. Adopted software development principles like Test-Driven Development (TDD) for ML model code, enhancing quality and maintainability. Technical Environment: Dataiku DSS, Docker, AWS, CI/CD, GitLab, AWS Bedrock

Set up an MLOps platform to streamline machine learning operations. Refactored Python code to improve efficiency and readability. Implemented CI/CD pipelines using GitLab for seamless development and deployment. Developed complex MLOps pipelines using ZenML, DVC, and MLflow. Managed infrastructure using Terraform and AWS services, including AWS SageMaker. Technical Skills: AWS, MLflow, DVC, Git, Docker, MLOps, Python, Terraform, ZenML, AWS SageMaker, Kubernetes, Scikit-Learn

Contributed to the development of a decision support web application for remuneration management for "Stanhome." Conducted client needs analysis and requirements gathering. Developed reports and data packages to support business decisions. Identified and resolved system anomalies, enhancing application reliability. Designed and executed unit tests; participated in integration testing. Assisted in software deliveries and production releases. Authored functional and technical documentation. Supported user acceptance testing (UAT) and provided end-user training. Technical Skills: .NET, SSRS, SSAS, SSIS, JavaScript, AJAX, T-SQL, SQL Server, Visual Studio

Implemented a decision support system for monitoring Bancassurance activities. Collaborated with business units to define requirements and develop necessary tools. Technical Skills: MSBI (SSIS, SSAS), Power BI, SQL Server

Developed a web application using PHP and Laravel for dental clinic management. Technical Skills: PHP, Laravel, Web Development

Created a dynamic ASP.NET web application for managing vacation center requests for employees. Streamlined the process of managing stays at various vacation centers. Developed features for users to create requests, view statuses, and access history. Implemented functionalities for administrators to manage accounts and center details. Technical Skills: ASP.NET, Web Application Development

Participated in the modeling of a billing management system to improve operational efficiency.