Bridging the gap between intelligent algorithms and complex biological/physical systems.
I am a Systems and Biomedical Engineering undergraduate at Cairo University (Class of 2027), specializing in the intersection of deep learning, signal processing, and medical imaging. I build scalable AI pipelines, from localized LLM architectures to automated diagnostic tools.
Whether I am developing a custom Linux-based environment for model training, extracting features from neurodegenerative clinical data, I am driven by building systems that solve complex, real-world problems.
- Generative AI & NLP: Architecting local, cost-optimized Retrieval-Augmented Generation (RAG) pipelines using LangChain, FAISS, and Meta's Llama 3 for complex document synthesis.
- Computer Vision & Sports Analytics: Researching and developing deep learning frameworks to identify similar football plays leveraging Transformer architectures and Permutation Invariant Trajectory Matching.
- Biomedical Signal Processing: Engineering real-time, multi-domain viewers for ECG, EEG, and Doppler data with integrated AI classification (Random Forests, ResNet50, LSTMs).
- Systems Architecture: Designing modular, end-to-end ML training pipelines with custom environment detection across Ubuntu/Linux local setups and cloud GPUs.
Languages & Core
AI, Data & ML
Frameworks & OS
