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Schedule Interview NowMy name is Nedhir B. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Python, TensorFlow, Machine Learning, Flask, GPT-3, etc.. I hold a degree in Engineer's degree, Licentiate degree. Some of the notable projects I’ve worked on include: ML Model Optimization, Regularization, Flutter Gallery search app with machine learning, (Backtrader)trading strategy backtest, trading strategy backtest. I am based in Tunis, Tunisia. I've successfully completed 5 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.
Main technologies
4 years
2 Years
3 Years
3 Years
Potentially possible
Telnet Holding
Implementation of different regularization techniques: L1 and L2 regularization dropout early stopping data augmentation implementation with Numpy and Tensorflow.
Smart Gallery is a gallery search cross platform mobile app . It's main purpose is to allow users to search through their phone galleries with ease using the power of machine learning. My main focus in this project was to make a fast and reliable tool that can compete with similar products that are developed by big companies like Google (google photos) and Apple (IOS gallery app).
Backtesting trading strategies with backtrader.
This an analysis of historical stock market data with pandas. the data was backtested with a bollinger bands strategy and the results were visualized using matplotlib.
Engineer's degree in Machine Learning
Licentiate degree in Computer science
2016-01-01-2019-01-01