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00ed/README.md

Hi 👋, I'm Eyad Alatifi

AI/ML Engineer | Deep Learning · Computer Vision · NLP · Brain-Computer Interfaces


🧠 About Me

  • 🎓 Bachelor's in Artificial Intelligence
  • 🧬 Deeply interested in Natural Language Processing (NLP), Computer Vision, and applied Deep Learning

🚀 Featured Projects

Assistive BCI system decoding EEG signals into text and speech for individuals with speech impairments.

  • Multi-stage pipeline: signal preprocessing → feature extraction → sequence encoding → context modeling → language refinement → TTS
  • Two-stage text enhancement (rule-based + GPT-4o-mini)
  • BLEU-4: 36.64% | ROUGE-1 F1: 52.76% | BERTScore F1: 90.52% on 2,404 test samples
  • PyTorch BART-large FastAPI React/Vite MongoDB

Surveillance video anomaly detection on the DCSASS dataset with a two-stage pipeline: X3D-S for binary anomaly gating and VideoMAE ViT-B for 13-class crime classification.

  • 99.16% weighted test accuracy
  • Full-stack app: FastAPI + React/Vite, dark forensic amber theme
  • Solved real deployment challenges: Decord for H.264 decoding on Windows, PyTorch Nightly + CUDA 12.8 for RTX 5060 Ti (Blackwell sm_120), YAML config with Pydantic

Fine-tuned Jais-256m via QLoRA on the AHQAD dataset for accurate Arabic medical Q&A.

  • Advanced Arabic text normalization, optimized memory usage
  • Evaluated on BLEU, ROUGE, and BERTScore
  • QLoRA Jais-256m Transformers NLP

🛠️ Tech Stack

Languages: Python Java

ML/DL Frameworks: PyTorch TensorFlow HuggingFace

CV/Data: OpenCV NumPy Pandas

Web/Backend: FastAPI React MongoDB

Tools: Git GitHub VS Code n8n


📊 GitHub Stats


📫 Reach Me

Thanks for stopping by — always open to collaborating on AI, CV, and BCI projects!

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