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Arij Belaid

@arijbelaid

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I build AI systems for document extraction, recruitment, and conversational workflows.

Tunisia

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What I'm looking for

I'm looking to build practical AI and NLP systems, from intelligent document processing and recruitment automation to conversational applications, while growing in scalable architectures, cloud, and emerging AI technologies.

I built an AI invoice extraction platform for hotels, combining RAG, LLMs, VLLMs, FastAPI, and Redis to turn heterogeneous invoices into structured data.

For my final-year project at AbShore, I developed an AI recruitment pipeline spanning text extraction, CV-job matching, profile ranking, LLM fine-tuning, and evaluation.

I've also built an NLP chatbot for architect-client communication at Data2Innov and contributed Spring Boot APIs and Angular interfaces to a recruitment platform at Whitecape Technologies.

As a fresh telecommunications engineering graduate, I enjoy applying AI, NLP, computer vision, and scalable backend systems to practical problems.

Experience

Work history, roles, and key accomplishments

Recruitment Platform

Whitecape Technologies

Contributed to the development of a recruitment web platform for managing candidate and recruiter interactions. Developed backend REST APIs using Spring Boot and designed responsive frontend interfaces using Angular.

Java Spring Boot Angular MongoDB Swagger REST APIs Git

AI Invoice Extraction Platform

Freelance Project

Designed and developed an intelligent document processing platform for automated hotel invoice extraction using RAG, LLMs, and VLLMs. Implemented backend services with FastAPI and optimized inference with Redis.

Python fastAPI Redis RAG LLM VLLM Docker

AI-Based Recruitment System Optimization

AbShore

Designed and implemented a full AI pipeline to automate and optimize candidate selection, from text extraction to profile ranking. Compared text extraction tools, fine-tuned LLMs, and evaluated matching using multiple metrics.

Python SpaCy LLM LoRAs PEFT Word2Vec BERT BM25 NLP

Seeds For the Future 2024

Huawei Northern Africa

Selected for the international Huawei Seeds for the Future program focused on AI, cloud computing, and 5G technologies. Participated in technical workshops and presented an innovation project during the Tech4Good competition.

AI Cloud Computing Leadership Teamwork Intercultural Communication

Intelligent Chatbot for Architects

Data2Innov

Developed an NLP-powered chatbot to facilitate architect-client communication and contextual requirement extraction. Designed conversational workflows using Rasa and implemented conversation storage with CouchDB.

Python Rasa NLP CouchDB PDF Generation