Mohamed El Korchi

– Designed and built scalable data platform architecture and pipelines using Apache NiFi with failure handling, backpressure control, and automated alerting. – Implemented ELT workflows with Azure ADLS Gen2 and Azure Databricks (Spark), optimizing storage with Parquet to reduce cloud costs and improve analytics performance. – Developed real-time maritime tracking pipelines aggregating data from major carriers (Maersk, CMA-CGM, MSC), creating a unified PostgreSQL single source of truth with real-time alerts. – Built analytics dashboards for maritime carrier performance and transit-time insights to support business and operational decision-making. – Developed an OCR-based document processing service for order workflows, including classification, extraction, validation, and mismatch alerting. – Created a high-accuracy ETA prediction service for road transport using historical GPS trajectory segmentation and real-time tracking data. – Built a booking management workflow system using self-hosted n8n, automating backend integration, email communication with carriers, and container tracking updates. – Developed an AI analytics assistant to analyze dashboard metrics and stream actionable insights. – Built a vessel tracking service with real-time position, vessel details, port calls, historical voyages, and operational status.

– Built scalable data pipelines using Delta Live Tables (DLT) for efficient extraction and loading. – Developed serverless data workflows using Google Cloud Functions and AWS Lambda. – Managed cloud data storage with AWS S3, Google Cloud Storage, and BigQuery.

– Developed document extraction pipelines using PaddleOCR, zonal extraction, NER models, and table parsing techniques. – Enhanced OCR accuracy with OpenCV preprocessing and trained a custom NER model on proprietary datasets. – Built a RESTful API with Flask to automate document extraction and integration workflows.

– Developed a session-based recommendation system for e-commerce platforms using hybrid GAT, GCN, and attention mechanisms. – Conducted extensive experiments, achieving a 4% improvement over state-of-the-art models.

– Built a cross-platform recommendation app using Flutter for products and services. – Designed interactive UI components and participated in debugging and code reviews. – Optimized app performance through efficient state management and clean Dart architecture.

– Worked on the development of a multi-app food delivery platform (client, restaurant, admin, and delivery apps) using Flutter. – Collaborated with cross-functional teams to ensure seamless integration across applications. – Wrote maintainable and high-performance Dart code to ensure scalability and reliability.