class Ibrahim:
def __init__(self):
self.role = ["ML Engineer", "Data Scientist"]
self.languages = ["Python", "C++", "JavaScript"]
self.learning = ["Full Stack (Django)", "MLOps", "Cloud ML"]
self.passion = "Turning data into intelligence"
self.superpower = "Mathematics + Code"
def fun_fact(self):
return "I treat math like a superpower 🧮"- 🎓 CS Student — deep love for mathematics and logic
- 🤖 ML Engineer specializing in Python-based frameworks
- 🌐 Leveling up with Full Stack Web Dev via
Django - 📈 Exploring AI · MLOps · Deep Learning for real-world impact
- 💡 Building intelligent systems where code meets data
💬 Languages
🤖 ML / Data Science
🌐 Web & Tools
2025 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━▶
[██████████] IBM Data Science Professional Certificate
[████████░░] MLOps & Model Deployment
[███████░░░] Full Stack Development (Django)
[██████░░░░] Cloud-Based ML (AWS / GCP)
[████░░░░░░] Advanced Deep Learning & LLMs
- 📚 Building projects in ML, DL, and Generative AI
- 🏅 Completing IBM Data Science Certificate
- ⚙️ Mastering MLOps, model serving, and deployment pipelines
- 🖥️ Crafting full-stack dashboards to visualize ML models
| Project | Description | Stack |
|---|---|---|
| 🔍 Predictive Analytics Engine | Regression & classification on real-world datasets | scikit-learn pandas Flask |
| 📊 Interactive ML Dashboards | Data viz with live model insights | Plotly Dash Flask |
| 🧠 Neural Networks from Scratch | Deep learning implemented manually | NumPy PyTorch |
| 🤖 AI Experimentation Lab | Ongoing DL & NLP experiments | TensorFlow HuggingFace |
"I treat math like a superpower and code like a language to talk to the universe."
"Data is the new oil, but intelligence is the new electricity."
— Andrew Ng