Reddit TLDR: AI-Powered Discussion Analysis
Advanced NLP system for summarizing Reddit discussions using state-of-the-art natural language processing techniques to extract key insights from complex conversation threads.
I build innovative and practical AI solutions to tackle real-world challenges, combining cutting-edge research with practical implementation.
As a passionate computer scientist with a 4.0 GPA and strong proficiency in English (IELTS 8), I am driven by a deep curiosity for artificial intelligence and its potential to enhance human decision-making.
My hands-on experience in AI, machine learning, data analysis, and software development fuels my desire to contribute to cutting-edge research and practical applications in AI. This passion led me to author a paper titled "UniVerse: A Social Platform For University Communities," which was accepted at the ITKID conference and is currently in press with a Scopus-indexed IEEE journal.
Ultimately, I aim to improve how technology shapes society by creating innovative solutions that address real-world challenges.
Here are some of the key projects I've worked on. For a complete overview, please visit my GitHub profile.
Advanced NLP system for summarizing Reddit discussions using state-of-the-art natural language processing techniques to extract key insights from complex conversation threads.
Deep learning model for complex image recognition tasks, achieving top 10% performance in competitive machine learning environment with custom CNN architecture and data augmentation strategies.
Comprehensive social platform for university communities featuring AI-powered content recommendations, real-time messaging, and academic collaboration tools. Published research paper accepted at ITKID 2025 conference.
Advanced GNN implementation for complex data relationships, utilizing graph convolution networks to analyze interconnected data structures and achieve superior classification performance on network datasets.
Professional internship project at e& (Etisalat) featuring comprehensive platform with image recognition, content blurring, transcription, translation, and custom chatbot using LLMs and RAG architecture.
Comprehensive deep learning implementation for image classification using convolutional neural networks, featuring custom architecture design, hyperparameter optimization, and performance analysis on the CIFAR-10 dataset.
Accepted at the ITKID 2025 conference
Udacity
Udemy
Have a question or want to work together? I'm always open to discussing new opportunities, collaborations, or just having a conversation about AI and technology.