I am a Master’s student in Computer Engineering at Sharif University of Technology. My research focuses on embedded real-time systems, particularly task scheduling, low-power computing, and thermal-aware system optimization. I’m interested in system-level design techniques that improve the efficiency and predictability of real-time applications. I aim to pursue a research career in embedded and cyber-physical systems.

• 🎓 Master's student in Computer Engineering at Sharif University of Technology
• 🧑‍🔬 Working on real-time schedulings, low-power design, and thermal-aware design
• 🌱 Passionate about research
• 👨‍💻 Coding enthusiast
• 🤝 Open to collaborations

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

• Real-time Computing (Current): Working on real-time scheduling solutions as part of my master's studies at Sharif University of Technology.
• Edge Computing (Interest): Exploring real-time edge computing research.
• 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.

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]

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