class OmarKhaled:
def __init__(self):
self.role = "Senior AI Engineer"
self.company = "Tatweer Middle East & Africa"
self.location = "Cairo, Egypt 🇪🇬"
self.education = "B.Sc. Computer Science — Ain Shams University (GPA: 3.6)"
self.languages = ["Arabic (Native)", "English (Fluent)"]
self.expertise = {
"Computer Vision": ["RF-DETR", "YOLO", "DeepStream", "TensorRT", "Multi-Object Tracking"],
"NLP & LLMs": ["LLaMA", "Qwen", "Whisper", "RAG", "LangChain", "LangGraph"],
"Agentic AI": ["CrewAI", "n8n", "Function Calling", "Graph DBs"],
"MLOps": ["Docker", "Kubernetes", "AWS SageMaker", "NVIDIA H100"],
}
def current_work(self):
return "Real-time near-miss accident detection across Abu Dhabi's traffic camera network 🚦"
def fun_fact(self):
return "I don't like mangos 🥭❌"🔵 Tatweer MEA ─── Senior AI Engineer ───────────── Jan 2026 → Present
└─ Real-time traffic safety AI on NVIDIA H100 GPUs
🟢 SURE Global ─── CV & NLP Engineer ────────────── Jan 2025 → Jan 2026
└─ Football analytics (Saudi Pro League) · Arabic ASR · Agentic RAG
🟡 Axcieve ─────── Software & ML Engineer (PT) ──── Jul 2024 → Apr 2025
└─ Advanced RAG pipelines · AI-powered sales dev tools
🔴 Telecom Egypt ─ ML Engineer ──────────────────── Aug 2023 → Jan 2025
└─ Arabic LLM fine-tuning · Churn prediction (96% acc) · ASR portal
A 6-model AI system: trigger words, object detection by search, depth estimation, image captioning, face recognition, and Egyptian currency detection — integrated in a Flutter app with Flask backend.
| Project | Description | Tech |
|---|---|---|
| 🤖 Face Emotion Recognition | Detect faces and classify emotions from expressions | OpenCV CNN TensorFlow |
| 🧠 Image Quantization | Image compression via color quantization with graph algorithms | C# Prim's MST Clustering |
| ✍️ Signature Verification | Classify and verify signatures using Siamese Networks | VGG-16 Siamese Net Keras |
- 🥇 3rd Best Computer Vision Project — Ain Shams University
- 📊 82% GS-HOTA score for Saudi Pro League Gamestate Reconstruction
- 🎯 96% accuracy churn prediction on terabyte-scale telecom data
- 📈 72% WER reduction fine-tuning LLaMA 3.1 on Arabic telecom QA
- 🗣️ +32% improvement in Arabic ASR via Whisper-v3 fine-tuning
| Badge | Certification | Issuer |
|---|---|---|
| 🧠 | Generative Adversarial Networks (GANs) | DeepLearning.ai |
| 💬 | Natural Language Processing Specialization | DeepLearning.ai |
| 🔬 | Deep Learning Specialization | DeepLearning.ai |
| 📈 | Machine Learning Specialization | Stanford University |
| 📊 | Machine Learning Specialization | University of Washington |
| 💻 | Accelerated CS Fundamentals | University of Illinois |
