EA

Eya Amor

Available to hire

I’m Eya Amor, a computer engineer from ENIS (Sfax) with a strong focus on AI and cybersecurity.

About

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.

  • 2 years' experience
  • Joined September 2026

Languages

  • FrenchFluent
  • EnglishAdvanced
  • ArabicFluent
  • GermanBeginner

Industry experience

  • Computers & Electronics
  • Software & Internet
  • Professional Services
  • Government
  • Healthcare

Work experience

AI & Cybersecurity Intern — Enhancement of a Vulnerability Scanner with an LLM Agent · Securas TechnologiesFeb 2026 – May 2026 · 4 mos

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 · Maison Mercedes (Silver Star)Jul 2025 – Aug 2025 · 2 mos

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 · CNRSJul 2024 – Present · 2 yrs 5 mos

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.

Education

Computer Engineering and Applied Mathematics · National Engineering School of Sfax (ENIS)2023 – 2026
Preparatory cycle for engineering studies (Math/Physics) · Preparatory Institute for Engineering Studies of Sfax2021 – 2023
Baccalaureate in Experimental Sciences · Hedi Soussi High School2020 – 2021

Certifications and awards

NVIDIA — Fundamentals of Deep Learning2030 – 2026
Hedera — Developer Certification2030 – 2026

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