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sadegh15khedry/README.md

Hello there, I'm Sadegh πŸ‘‹

I'm a Master's student in Computer Engineering at Sharif University of Technology, working on edge computing. I'm interested in real-time computing and have some experiences in .NET development, Android development, and deep learning.

About Me

  • πŸŽ“ Master's student in Computer Engineering at Sharif University of Technology
  • πŸ§‘β€πŸ”¬ Working on edge computing
  • ⏱️ Interested in real-time computing
  • 🌱 Passionate about research
  • πŸ‘¨β€πŸ’» Coding enthusiast
  • 🀝 Open to collaborations

Skills

  • Programming Languages: Python, C#, C, Java
  • Frameworks & Libraries: .NET Framework, Android SDK
  • Tools & Technologies: Visual Studio Code, Visual Studio, Android Studio
  • Other Skills: Edge computing, Real-time computing, Problem-solving, Teamwork

Experience

  • Edge Computing (Current): Working on edge computing solutions as part of my master's studies at Sharif University of Technology.
  • Real-time Computing (Interest): Exploring real-time computing concepts and applications.
  • Deep Learning (2 year, prior experience): Previously explored various deep learning techniques and frameworks, implementing projects in computer vision and natural language processing domains.
  • .NET Development (2 years): Developed web applications using ASP.NET, MVC framework, Dapper, and Entity Framework.
  • SQL Server (2 years): Designed and implemented relational databases.

πŸ’» Tech Stack:

Python C C# Java .Net MicrosoftSQLServer GitHub

πŸ“Š GitHub Stats:



πŸ† GitHub Trophies

πŸ” Top Contributed Repo


Projects

Here are a few projects I've worked on:

  1. Pneumonia Detection using CNN: Training and evaluating a convolutional neural network (CNN) model to detect pneumonia from chest X-ray images. [Link to GitHub Repo]
  2. ML Algorithms from scratch: This project is dedicated to implementing various machine learning algorithms from scratch to gain a deeper understanding of how they work. [Link to GitHub Repo]
  3. Movie Recommendation System Using Collaborative Filtering: Building a movie recommendation system using collaborative filtering techniques. [Link to GitHub Repo]
  4. Lunar Lander Using PPO: This repository contains code for training and evaluating a Lunar Lander agent using the Proximal Policy Optimization (PPO) algorithm. [Link to GitHub Repo]
  5. Comments Sentiment Analysis: This project is focused on analyzing the sentiment of user comments. [Link to GitHub Repo]

🌐 Socials:

Facebook Instagram X

Feel free to reach out to me for collaborations or discussions about technology and software development!

Pinned Loading

  1. Pneumonia-Detection-Using-CNN Pneumonia-Detection-Using-CNN Public

    Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).

    Jupyter Notebook

  2. ML-Algorithms-From-Scratch ML-Algorithms-From-Scratch Public

    This project is dedicated to implementing various machine learning algorithms from scratch to gain a deeper understanding of how they work.

    Jupyter Notebook 3 1

  3. Lunar-Lander-Using-PPO Lunar-Lander-Using-PPO Public

    Training an agent to land a spacecraft in the LunarLander environment.

    Jupyter Notebook

  4. CreditCard-Transaction-Anomaly-Detection-Using-IsolationForest CreditCard-Transaction-Anomaly-Detection-Using-IsolationForest Public

    detecting fraudulent transactions in credit card data using anomaly detection techniques.

    Jupyter Notebook

  5. Movie-Recommendation-System-Using-Collaborative-Filtering Movie-Recommendation-System-Using-Collaborative-Filtering Public

    building a movie recommendation system using collaborative filtering techniques.

    Jupyter Notebook

  6. Comments-Sentiment-Analysis Comments-Sentiment-Analysis Public

    text classification on comments using an ANN model.

    Jupyter Notebook