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Hello! I’m Lamis Njeh, an engineer who is hardworking and fascinated by new technologies. I’m always seeking to learn new skills continuously and I’m courageous to take on new challenges. I use my passion for learning to advance and improve my skills, and I’m known for being friendly and constructive with feedback.\n\nThroughout my internships and projects I’ve built experience in machine learning, computer vision, NLP, and data processing. I love collaborating with diverse teams to solve real-world problems and I leverage feedback to improve my performance and behavior.…Hello! I’m Lamis Njeh, an engineer who is hardworking and fascinated by new technologies. I’m always seeking to learn new skills continuously and I’m courageous to take on new challenges. I use my passion for learning to advance and improve my skills, and I’m known for being friendly and constructive with feedback.\n\nThroughout my internships and projects I’ve built experience in machine learning, computer vision, NLP, and data processing. I love collaborating with diverse teams to solve real-world problems and I leverage feedback to improve my performance and behavior.

Lamis Njeh

AI Engineer, Developer, Data Scientist, +5

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Hello! I’m Lamis Njeh, an engineer who is hardworking and fascinated by new technologies. I’m always seeking to learn new skills continuously and I’m courageous to take on new challenges. I use my passion for learning to advance and improve my skills, and I’m known for being friendly and constructive with feedback.\n\nThroughout my internships and projects I’ve built experience in machine learning, computer vision, NLP, and data processing. I love collaborating with diverse teams to solve real-world problems and I leverage feedback to improve my performance and behavior.…Hello! I’m Lamis Njeh, an engineer who is hardworking and fascinated by new technologies. I’m always seeking to learn new skills continuously and I’m courageous to take on new challenges. I use my passion for learning to advance and improve my skills, and I’m known for being friendly and constructive with feedback.\n\nThroughout my internships and projects I’ve built experience in machine learning, computer vision, NLP, and data processing. I love collaborating with diverse teams to solve real-world problems and I leverage feedback to improve my performance and behavior.

Available to hire

Hello! I’m Lamis Njeh, an engineer who is hardworking and fascinated by new technologies. I’m always seeking to learn new skills continuously and I’m courageous to take on new challenges. I use my passion for learning to advance and improve my skills, and I’m known for being friendly and constructive with feedback.\n\nThroughout my internships and projects I’ve built experience in machine learning, computer vision, NLP, and data processing. I love collaborating with diverse teams to solve real-world problems and I leverage feedback to improve my performance and behavior.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Arabic

Fluent

French

Advanced

English

Advanced

Work Experience

Artificial Intelligence Intern at CRNS, Sfax

August 31, 2023 - September 2, 2025

Started annotation for olives in a dataset of images and then trained on Detectron2 for object detection. Implemented the model on a robot, using Segment Anything Model and GroundDino for automating the detection process. Worked with computer vision, image annotation, object detection, and implementation on a robot.

Machine Learning Engineer at Kosmos Technologies, Sousse

June 30, 2024 - September 2, 2025

Made a comparison of Segment Anything models like SAM, EfficientSAM, Mobile SAM, and Rep ViT-SAM. Chose the best model and implemented it on Xavier Jetson Card. Developed a depth estimation model and converted its output to real distance measures. Calculated the volume of objects from a single image using computer vision, segmentation models, monocular depth estimation, and AI.

Machine Learning Engineer Intern at CRNS, Sfax

August 31, 2024 - September 2, 2025

Worked on Natural Language Processing by implementing OCR to extract content from images. Used OCR output as input for a question-answering pipeline. Applied a pre-trained model, Phi from Microsoft, to answer questions about document contents. Worked with NLP, data visualization, data manipulation, pipeline development, AI models, LLM and OCR.

Artificial Intelligence Intern at CRNS | Sfax

August 31, 2023 - September 2, 2025

Started annotation for olives in a dataset of images, then trained a Detectron2 model for object detection and implemented the model on a robot. Used Segment Anything Model (SAM) and GroundDino for automating the detection. Focused on computer vision, image annotation, object detection, and robotic implementation.

Machine Learning Engineer at Kosmos Technologies | Sousse

June 30, 2024 - September 2, 2025

Compared Segment Anything models including SAM, EfficientSAM, Mobile SAM, and RepViT-SAM to select the best model. Implemented it on Xavier Jetson Card and created a depth estimation model which output real distance measures. Calculated object volume from a single image by combining segmentation area and depth-based height estimation. Specialized in computer vision, image segmentation, monocular depth estimation using Python and AI.

Machine Learning Engineer Intern at CRNS | Sfax

August 31, 2024 - September 2, 2025

Worked on Natural Processing Language (NLP) where OCR was implemented to extract content from images. Output of OCR fed into a question-answering pipeline and a pre-trained Microsoft Phifro model was applied to answer questions about document content. Focused on NLP, data visualization, data manipulation, pipeline creation, question-answering AI models, and OCR.

Artificial Intelligence Internship at CRNS, Sfax

August 31, 2023 - September 22, 2025

Annotated olives in a dataset of images; trained Detectron2 for object detection and implemented the model on a robot. Used Segment Anything Model (SAM) and GroundDino to automate detection, contributing to computer vision, image annotation, object detection, and robotics integration.

Machine Learning Engineer at Kosmos Technologies

June 30, 2024 - September 22, 2025

Compared segmentation models (SAM, Efficient SAM, Mobile SAM, RepVIT-SAM), selected the best model, and implemented it on NVIDIA Jetson Xavier NX. Developed depth estimation and converted outputs to real-distance measures to compute object volume from a single image.

Natural Language Processing Internship at CRNS, Sfax

August 31, 2024 - September 22, 2025

Worked on NLP tasks: implemented OCR to extract content from images; used OCR outputs as input for a question-answering pipeline with a pre-trained model from Microsoft to answer questions about document content. Performed NLP data visualization, data manipulation, and pipeline development focused on AI models, LLM, OCR, and NLP.