Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I’m Eya Amor, a computer engineer from ENIS (Sfax) with a strong focus on AI and cybersecurity. I enjoy building practical NLP/LLM systems—especially chatbots and RAG pipelines—where I can turn data and knowledge into helpful, accurate outputs. I also bring a security mindset to my work: I’ve built an LLM-enhanced vulnerability analysis agent that interprets scan results, classifies issues using CVSS/CWE/OWASP, and produces actionable reports with significantly fewer false positives. I’m now looking to create intelligent, secure, and scalable AI solutions that make real impact.…I’m Eya Amor, a computer engineer from ENIS (Sfax) with a strong focus on AI and cybersecurity. I enjoy building practical NLP/LLM systems—especially chatbots and RAG pipelines—where I can turn data and knowledge into helpful, accurate outputs. I also bring a security mindset to my work: I’ve built an LLM-enhanced vulnerability analysis agent that interprets scan results, classifies issues using CVSS/CWE/OWASP, and produces actionable reports with significantly fewer false positives. I’m now looking to create intelligent, secure, and scalable AI solutions that make real impact.

Eya Amor

AI Engineer, Programmer, Web Developer, +2





I’m Eya Amor, a computer engineer from ENIS (Sfax) with a strong focus on AI and cybersecurity. I enjoy building practical NLP/LLM systems—especially chatbots and RAG pipelines—where I can turn data and knowledge into helpful, accurate outputs. I also bring a security mindset to my work: I’ve built an LLM-enhanced vulnerability analysis agent that interprets scan results, classifies issues using CVSS/CWE/OWASP, and produces actionable reports with significantly fewer false positives. I’m now looking to create intelligent, secure, and scalable AI solutions that make real impact.…I’m Eya Amor, a computer engineer from ENIS (Sfax) with a strong focus on AI and cybersecurity. I enjoy building practical NLP/LLM systems—especially chatbots and RAG pipelines—where I can turn data and knowledge into helpful, accurate outputs. I also bring a security mindset to my work: I’ve built an LLM-enhanced vulnerability analysis agent that interprets scan results, classifies issues using CVSS/CWE/OWASP, and produces actionable reports with significantly fewer false positives. I’m now looking to create intelligent, secure, and scalable AI solutions that make real impact.

Available to hire

I’m Eya Amor, a computer engineer from ENIS (Sfax) with a strong focus on AI and cybersecurity. I enjoy building practical NLP/LLM systems—especially chatbots and RAG pipelines—where I can turn data and knowledge into helpful, accurate outputs.

I also bring a security mindset to my work: I’ve built an LLM-enhanced vulnerability analysis agent that interprets scan results, classifies issues using CVSS/CWE/OWASP, and produces actionable reports with significantly fewer false positives. I’m now looking to create intelligent, secure, and scalable AI solutions that make real impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Beginner

Language

French

Fluent

English

Advanced

Arabic

Fluent

German

Beginner

Work Experience

AI & Cybersecurity Intern — Enhancement of a Vulnerability Scanner with an LLM Agent at Securas Technologies

February 1, 2026 - May 1, 2026

Built an LLM-based agent to automatically analyze and interpret web/network vulnerability scan results. Classified and prioritized vulnerabilities using CVSS, CWE, and OWASP Top 10, then generated clear, actionable reports integrated via REST API into an existing scanner. Achieved a 96% reduction in false positives and improved cybersecurity decision-making through automated analysis.

AI Intern — Development of an Intelligent Chatbot at Maison Mercedes (Silver Star)

July 1, 2025 - August 1, 2025

Designed an intelligent chatbot for handling invoice, customer, and financial-indicator related requests. Built an NLP architecture using Transformer models (BART for intent classification and RoBERTa/SBERT for semantic representations). Implemented a RAG pipeline combining FAISS for vector search and SBERT embeddings, improving response quality with contextual correction and semantic-similarity-based fallback.

AI & Mobile Development Intern at CNRS

July 1, 2024 - Present

Developed an intelligent system to classify fish species from head images. Trained real-time object detection using YOLOv9 and convolutional neural networks, and designed a mobile application with Flutter backed by a Flask service for fast, user-friendly detection.