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I am a recently graduated Embedded Systems and IoT Engineer with a solid passion and hands-on experience in Artificial Intelligence, including Large Language Models, Natural Language Processing, and Machine Learning. I enjoy creating intelligent, connected, and real-time technology solutions and am eager to apply and expand my skills in smart technologies and AI-driven systems. Throughout my education and internships, I've worked on innovative projects involving AI, IoT, and embedded systems, such as developing plant disease detection systems, enhancing e-commerce dashboards, and designing intelligent traffic event detection using advanced NLP and machine learning techniques. I am enthusiastic about contributing to impactful projects in my field.…I am a recently graduated Embedded Systems and IoT Engineer with a solid passion and hands-on experience in Artificial Intelligence, including Large Language Models, Natural Language Processing, and Machine Learning. I enjoy creating intelligent, connected, and real-time technology solutions and am eager to apply and expand my skills in smart technologies and AI-driven systems. Throughout my education and internships, I've worked on innovative projects involving AI, IoT, and embedded systems, such as developing plant disease detection systems, enhancing e-commerce dashboards, and designing intelligent traffic event detection using advanced NLP and machine learning techniques. I am enthusiastic about contributing to impactful projects in my field.

Amina Khandoudi

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I am a recently graduated Embedded Systems and IoT Engineer with a solid passion and hands-on experience in Artificial Intelligence, including Large Language Models, Natural Language Processing, and Machine Learning. I enjoy creating intelligent, connected, and real-time technology solutions and am eager to apply and expand my skills in smart technologies and AI-driven systems. Throughout my education and internships, I've worked on innovative projects involving AI, IoT, and embedded systems, such as developing plant disease detection systems, enhancing e-commerce dashboards, and designing intelligent traffic event detection using advanced NLP and machine learning techniques. I am enthusiastic about contributing to impactful projects in my field.…I am a recently graduated Embedded Systems and IoT Engineer with a solid passion and hands-on experience in Artificial Intelligence, including Large Language Models, Natural Language Processing, and Machine Learning. I enjoy creating intelligent, connected, and real-time technology solutions and am eager to apply and expand my skills in smart technologies and AI-driven systems. Throughout my education and internships, I've worked on innovative projects involving AI, IoT, and embedded systems, such as developing plant disease detection systems, enhancing e-commerce dashboards, and designing intelligent traffic event detection using advanced NLP and machine learning techniques. I am enthusiastic about contributing to impactful projects in my field.

Available to hire

I am a recently graduated Embedded Systems and IoT Engineer with a solid passion and hands-on experience in Artificial Intelligence, including Large Language Models, Natural Language Processing, and Machine Learning. I enjoy creating intelligent, connected, and real-time technology solutions and am eager to apply and expand my skills in smart technologies and AI-driven systems.

Throughout my education and internships, I’ve worked on innovative projects involving AI, IoT, and embedded systems, such as developing plant disease detection systems, enhancing e-commerce dashboards, and designing intelligent traffic event detection using advanced NLP and machine learning techniques. I am enthusiastic about contributing to impactful projects in my field.

Skills

Experience Level

Intermediate

Intermediate

Intermediate

Beginner

Beginner

Beginner

Beginner

Beginner

Language

Arabic

Fluent

French

Intermediate

English

Intermediate

Work Experience

End of year Internship at Digital Research Center of Sfax (CRNS)

June 30, 2025 - July 27, 2025

Designed an intelligent traffic event detection system using Large Language Models (BERT, RoBERTa, GPT-2, DistilBERT), Retrieval-Augmented Generation (RAG), and a Neo4j knowledge graph, with real-time display via Raspberry Pi. Leveraged social media data and advanced NLP techniques for accurate traffic event analysis.

Summer internship at IResCoMath Lab

July 31, 2024 - July 27, 2025

Developed a plant disease detection system using image recognition for leaf disease identification and environmental state monitoring using Machine Learning models. Leveraged Raspberry Pi 5 for real-time processing of temperature, humidity, and image data, and deployed the system through a Node-RED interface.

End of Year Internship at Digidiom Tunisia Society (German company)

May 31, 2022 - July 27, 2025

Enhanced Digidiom’s seller performance dashboard by analyzing KPIs and integrating Business Intelligence modules. Developed a machine learning model to classify products as 'smart' or 'non-smart' based on textual product descriptions.

Education

License at Higher Institute of Informatics and Multimedia Gabes

October 1, 2019 - May 31, 2022

Qualifications

Azure AI Fundamentals Fundamentals of Deep Learning (NVIDIA)

January 1, 2022 - December 31, 2022

Evaluation and Light Customization of Large Language Models (NVIDIA)

January 1, 2023 - December 31, 2023

Industry Experience

Computers & Electronics, Software & Internet, Transportation & Logistics, Education

End of year project

I worked on a real-time traffic event detection system based on social media analysis (Twitter, Reddit) as part of my graduation project at the CRNS research center. I used several LLMs such as BERT, RoBERTa, GPT-2, and DistilBERT, and integrated them into a RAG-based pipeline with a Neo4j knowledge graph to provide contextual reasoning. The system was deployed via FastAPI and designed to be scalable, modular, and user-interactive.…I worked on a real-time traffic event detection system based on social media analysis (Twitter, Reddit) as part of my graduation project at the CRNS research center. I used several LLMs such as BERT, RoBERTa, GPT-2, and DistilBERT, and integrated them into a RAG-based pipeline with a Neo4j knowledge graph to provide contextual reasoning. The system was deployed via FastAPI and designed to be scalable, modular, and user-interactive.

AI Engineer

Smart Agriculture

One of my recent projects involved plant disease detection using image classification. I built a CNN-based model to classify leaf diseases, combined with a smart sensing system (temperature and humidity) deployed on a Raspberry Pi. The data was sent to Firebase, and I developed a simple Node-RED dashboard to visualize real-time updates. This project required integrating ML models, embedded platforms, and interactive user feedback, and was done in collaboration with iRescoMath Lab.…One of my recent projects involved plant disease detection using image classification. I built a CNN-based model to classify leaf diseases, combined with a smart sensing system (temperature and humidity) deployed on a Raspberry Pi. The data was sent to Firebase, and I developed a simple Node-RED dashboard to visualize real-time updates. This project required integrating ML models, embedded platforms, and interactive user feedback, and was done in collaboration with iRescoMath Lab.

AI Developer

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