🚀 About Me

I am a final-year Computer Science student specializing in Artificial Intelligence. My journey wasn't about shortcuts; I built my understanding from the bottom up:

1. Machine Learning: Mastered the mathematical foundations and statistical learning.
2. Deep Learning: Built neural networks from scratch to understand backpropagation and architecture.
3. NLP: Specialized in sequence modeling and text processing.
4. LLMs: Currently designing, fine-tuning, and deploying Large Language Models.

I focus on the engineering behind the model—optimization, inference speed, and scalable architecture.

🛠️ Tech Stack & Arsenal

🔭 Featured Projects

1. Enterprise RAG System (Graduation Project) Developing a Retrieval-Augmented Generation system using Vector Databases and Quantized LLMs.

• Tech: Python, LangChain, Pinecone, Llama-2 (Quantized).
• Focus: optimizing inference latency on consumer hardware.

2. Arabic LLM Fine-Tuning Training and fine-tuning transformer models specifically for Arabic dialect understanding.

• Tech: PyTorch, Transformers, LoRA adapters.
• Focus: Data curation and tokenization strategies for non-English languages.

3. Low-Level Data Structures Implementation of core CS algorithms (B-Trees/Graphs) in C++.

• Tech: C++, Memory Management.
• Focus: Understanding the computational complexity behind data retrieval.

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