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Schedule Interview NowMy name is Bechir B. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning, Big Data, Data Engineering, Data Visualization, etc.. I hold a degree in High school degree, Engineer's degree. Some of the notable projects I've worked on include: AI /ML Portfolio, Arabic-Dialect-Identifier-NLP-, Photovoltaic Anomaly Detection with YOLOv10 & Hybrid CNN, Medical MNIST Classification, Used Car Price Prediction (Top 10%, etc.. I am based in Megrine, Tunisia. I've successfully completed 6 projects while developing at Softaims.
I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.
My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.
My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.
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University of South Denmark
Showcase of projects demonstrating expertise in data analysis, model development,natural language processing and intelligent systems.
A deep learning pipeline that identifies 26 Arabic dialects (25 city dialects plus MSA) from raw text and displays predictions as an interactive geographic map.
Developed a deep learning pipeline for detecting solar cell defects using EL/IR images. Built a hybrid CNN (ResNet + Xception with custom training) and deployed an enhanced YOLOv10 architecture on Jet
Developed a high-precision medical image classification system achieving 99% accuracy on the Medical MNIST dataset. The system integrates adaptive multi-threshold reconstruction and latent space clust
Developed a car price prediction model using advanced ML techniques and domain-specific features. Applied Box-Cox transformations, intelligent outlier detection, and stacked ensemble models (XGBoost,
High school degree in Mathematics
2017-01-01-2021-01-01
Engineer's degree in Data Science/Aritificial Intelligence
2021-01-01-2025-01-01