Responsible, team-working, motivated, precise, and hardworking student with a strong passion for cutting-edge research in machine learning and AI
seeking to leverage these skills and pursue a Ph.D. position to contribute to the advancement of the field and find solutions to real-world problems
Developed a machine learning project as my Bachelor’s thesis project to predict Ethereum price value by amalgamating sentiment analysis data from Twitter and Reddit, processed using the Vader library, combined with Ethereum hourly candles to create a dataset. Utilized TensorFlow to build and train a predictive model based on the combined dataset, aiming to correlate sentiment trends with Ethereum price movements.
The ongoing project aims to detect early signs of depression by analyzing over 300,000 Reddit posts using NLP and ML techniques. By uncovering subtle linguistic patterns within the posts, the project seeks to develop a robust framework for timely intervention, showcasing the integration of technology and mental health for proactive digital mental wellness solutions.
Designed a Hardware-Software Co-design framework using Python for software and SystemC for hardware, communicating via sockets. Hardware, developed in C++ and SystemC, manages complex computations, while Python software enhances functionality and user accessibility.
Contributed to the development of a MATLAB simulator for optimizing load distribution on Iran's railroads. Integrated a user-friendly, multi-stage Java Swing GUI, simplifying configuration and file access for enhanced usability
A graphical CPU scheduler that is written in Java with Java swing. Processes enter the queue and are served in order of their priority. Supports multi-access to the processor using synchronized locks and thread pool.
Event managmenet website written in react and asp.net. Site features high levels of security and authentication. It provides users the ability to create an activity, join an activity, live chat about and activity and more. Client-side is uses React with Typescript and Semantic-UI for it's UI framework. Server-side is written in Asp-net.core 6 and uses Postgres as the database.
The developed crypto trading website, utilizing HTML/CSS, JavaScript, and PHP, offers live cryptocurrency prices, real-time trading capabilities, user-specific wallets, and an intuitive user interface. This project represents a seamless fusion of web technologies and crypto trading, providing users with a secure and visually appealing platform for managing their digital assets.
Implementation of SR and GBN protocols using Java. Sender and receiver connect through sockets. Application support dynamic windows size, number of packets, the delay between packets, and time-out mechanism for both SR and GBN.
