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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 motivated computer science student at Azad University, with a strong focus on deep learning, computer vision, and natural language processing. My research interests center around applying advanced machine learning techniques to real-world challenges, particularly in malware detection. I have experience working with datasets such as AndroZoo and Malimg, leveraging models like CNNs, ResNet, EfficientNet, and deep autoencoders for malware classification and clustering. In addition to my work in computer vision, I’m actively exploring large language models (LLMs) and contributing to NLP-based projects. I am continuously seeking opportunities to learn, collaborate, and contribute to innovative research in AI and machine learning. you can download my resume from the link down below.



Parsa tabrizi

</Skills>

Tech Stack

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

</Projects>

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Building a neural network

A complete implementation of a neural network built from scratch using only NumPy and Pandas to classify handwritten digits from the MNIST dataset. This project demonstrates the fundamental concepts of deep learning without relying on high-level frameworks like TensorFlow or PyTorch.

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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
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Face Recognition Model

A comprehensive, production-ready face recognition system built with Python that can train on custom faces and perform real-time recognition using your device's camera. Features advanced machine learning techniques, real-time processing, and an intuitive user interface.

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