khalfa seifeddine

- Design, optimize, and maintain e-commerce middleware in PHP 7/8, Symfony 5/7, processing high volumes of orders with focus on performance, scalability, and reliability. - Implement automated data pipelines ensuring synchronization across ERP, CRM, and internal tools using Cron jobs and RabbitMQ. *Stack: Cron, API REST, GraphQL, MySQL, RabbitMQ, Docker. - Build backend processes for data extraction, cleaning, and delivery to CRM, customer support, and marketing teams. *Tools: Symfony, Zapier, N8N, Custom APIs. - Develop custom Shopify applications integrated into internal workflows (inventory, order management, notifications) using Shopify API, Webhooks, TypeScript, GraphQL. - Automate Customer Service, After-Sales, and Logistics workflows with Python, Flask, AI, LLM, OCR, N8N, reducing manual workload. - Deliver custom business modules for multiple teams (support, marketing, data, logistics): o Refund automation. o Analytics dashboards for data/CRM teams. o Fast order lookup, and bundle/kit management. *Stack: NestJS, ExpressJS, NextJS, GraphQL, - Apply DevOps best practices: containerize services, manage environments, implement CI/CD with GitLab CI, and automate deployments. - Write unit and integration tests with PHPUnit and Jest to ensure reliability. - Actively participate in client workshops and Agile ceremonies: requirements gathering, ticket creation, demos, and progress follow-up. - Lead an end of engineering studies project alongside the post, to design and develop a centralized data management system with Express.js and Next.js: o Centralize and standardize multi-source data (ERP, CRM, Shopify, internal tools). o Build analytics dashboards and KPIs for marketing, data, and logistics teams. o Integrate AI (LLMs) and forecasting for automated decision-support reports.

I developed a centralized data management and analytics system as my final year project for an e-commerce company. This project focused on collecting, structuring, and analyzing data from multiple online platforms, including US, EU, and UK markets. Using Express.js and Next.js, I designed a solution to generate interactive dashboards, key performance indicators (KPIs), and dynamic visualizations. Crucially, I implemented machine learning models to forecast sales and market trends, providing valuable support to marketing, sales, and logistics teams for decision-making and operational optimization. This project allowed me to develop strong skills in data management, web development, and machine learning-based predictive analytics.

- Supervised and mentored a team of 3 developers, implementing code reviews and task tracking. - Led development of CRM and real estate ads management tool, including multi-channel publishing, client interaction tracking (calls/emails), analytics, and ad customization. * Stack : PHP/Symfony, MySQL, jQuery, Bootstrap, Docker, REST APIs. - Directed projects end-to-end: requirements gathering, technical design, implementation, and demo delivery.

- Maintained and enhanced a real estate ads diffusion platform built with Symfony 4/6, ensuring high availability. - Diagnosed and resolved complex technical issues, ensuring continuous system uptime. - Led development of CRM and real estate ads management tool, including multi-channel publishing, client interaction tracking (calls/emails), analytics, and ad customization. *Stack : PHP/Symfony, MySQL, jQuery, Bootstrap, Docker, REST APIs. - Designed and integrated a custom telephony server for call and email tracking: o Assigned dedicated tracking numbers. o Delivered dynamic voicemail messages via TTS. o Automated workflows for missed calls, voicemails, and reminders. o Integrated reporting with the internal CRM to improve commercial follow-up.