Slim Hamdi

Background

About Slim Hamdi

With over 5 years of experience in the field of Artificial Intelligence and Machine Learning, I have specialized in Deep Learning and Computer Vision, utilizing cutting-edge technologies to solve complex problems. My expertise spans a variety of industries including agriculture, video surveillance, and digital signal processing. At Eurocelp, I have proposed innovative methods for potato disease detection and implemented advanced machine learning pipelines using frameworks like TensorFlow, Keras, and PyTorch. In my previous role, I developed anomaly detection methods for video surveillance and studied the HEVC/H.265 standard using VHDL and ModelSim. My diverse skill set includes: Machine Learning Techniques: Support Vector Machines (SVM), One-Class SVM, Principal Component Analysis (PCA), Random Forests Deep Learning Techniques: Convolutional Neural Networks (CNNs), Autoencoders, Generative Image Tasks, Transfer Learning Tools and Frameworks: TensorFlow, Keras, PyTorch, scikit-learn, Programming Languages: Python, MATLAB Development Environments: MATLAB GUI, Tkinter, ModelSim, Arduino Programming Hardware and Embedded Systems: FPGA, VHDL Data Handling: Data Augmentation, Data Preprocessing (Pandas, NumPy), Hyperparameter Tuning Data Visualization: Creating visualizations to interpret and communicate findings effectively Natural Language Processing (NLP): Implementing chatbots for automatic annotation Project Management: Leveraging my MBA in management for efficient project execution Specialized Applications: Clock Jitter Analysis, Excitation Signals for Spectroscopy, Complex Impedance Studies #Deep_Learning #Computer_Vision #Anomaly_Detection #Tensorflow #Keras #PyTorch #Python #SVM #OneClassSVM #Autoencoders #ConvolutionalNeuralNetworks #GenerativeImageTasks #PCA #scikitlearn #DataAugmentation #HyperparameterTuning #DataVisualization #AutomaticAnnotation #ChatbotImplementation #Tkinter #VHDL #ModelSim #FPGA #MatlabGUI #PathOptimization #ArduinoProgramming #FuzzyLogic #ClockJitterAnalysis #ExcitationSignals #Spectroscopy #ComplexImpedance