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Computer Student & Researcher with experience in deepl learning, NLP ,LLMs , focused on computer vision .

I'm a passionate computer science student and dedicated researcher in the field of computing, constantly driven by curiosity and a love for innovation. Every day, I seek to learn something new, expand my knowledge, and upgrade myself both technically and personally. Whether it's diving deep into deep learning architectures, or studying the latest research papers, I always strive to push my limits and grow.

</AboutMe>

I’m Parsa Behjat Tabrizi, a passionate and ambitious computer science student at Azad University, deeply engaged in research on deep learning, computer vision, and large language models. With a strong analytical mindset and a persistent drive for discovery, I am working on innovative applications of machine learning and deep learning to cybersecurity, particularly in malware detection using datasets like AndroZoo and Malimg. My main research interests lie in deep learning, particularly in computer vision and clustering techniques. I am currently focused on exploring convolutional neural networks (CNNs) for malware classification and enhancing detection accuracy through deep autoencoder-based clustering (DAC). Additionally, I am investigating how various deep learning architectures, such as ResNet and EfficientNet, perform on malware datasets to optimize classification and clustering performance.



Parsa tabrizi

</Skills>

Tech Stack

  • HTML
  • CSS
  • JS
  • PYTHON
  • JUPYTER NOTEBOOK
  • SQL server
  • Tensorflow
  • PYTORCH
  • GITHUB
  • GIT
  • Anakonca
  • C#
  • C
  • C++
  • FIGMA

</Projects>

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MNIST classifier

MNIST: Traning a simple classifier on MNIST Dataset

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Hyper-model training on Chest X-Ray Images (Pneumonia)
Hyper-model training on Chest X-Ray Images (Pneumonia)

This project focuses on detecting Pneumonia from Chest X-Ray images using deep learning techniques. The dataset used is the publicly available Chest X-Ray Pneumonia dataset from Kaggle, which includes images categorized into train, val, and test folders.

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Deep learning projects
Deep learning projects

all my Deep learning projects incloding multi dimensional data classification, cybersecurity prejects, computer vision project and others.

Deep learning projects