Amine Amllal

Developed a multimodal RAG assistant for querying technical documentation using natural language, combining textual sources and relevant figures.

Designed an end-to-end document pipeline using Docling + HybridChunker, supporting PDF/DOCX/XLSX ingestion, structural parsing, semantic chunking, table reconstruction, and figure extraction.

Integrated Gemma-3 27B for contextual figure captionin

• Designed and implemented AI-powered sourcing workflows for the global fragrance and perfume manufacturing market.

• Built automated pipelines to discover and scrape data from marketplaces, exhibitor directories, supplier databases, and industry sources.

• Developed intelligent filtering systems using LLMs to classify companies, remove out-of-scope actors, and enrich supplier profiles.

• Autom

Worked as Automation & AI Workflow at Mcovery.

During my internship at Mcovery, I work on developing automation solutions for marketing and communication processes using n8n workflows and integrations with multiple digital platforms.

My work mainly focuses on automating social media content creation, marketing campaigns, and client communication workflows, while also managing a CRM database containing more than 10,000 clients.

Key Contributi

I worked on the development of an automated document processing solution designed to extract structured data from medical invoice images.

The objective of the project was to transform unstructured medical billing documents into structured JSON data, enabling easier integration with hospital information systems and improving administrative data processing.

During this internship, I collaborated w

May 2026

Oct 2025

Nov 2024

Feb 2024