class Honore:
def __init__(self):
self.username = "hon-mind"
self.focus = ["Machine Learning", "AI Systems", "Backend Development"]
self.stack = {
"ml_ai": ["TensorFlow", "Scikit-learn", "Pandas", "NumPy"],
"backend": ["Django", "Python", "REST APIs"],
"exploring": ["LLMs", "RAG Pipelines", "MLOps"]
}
self.open_to = "Collaborations, Open Source & AI Projects 🚀"
def say_hi(self):
print("Hey there! Let's build something intelligent together 🧠")
me = Honore()
me.say_hi()
💬 "What projects are you working on?"
🤖 → Currently building ML pipelines for classification & NLP tasks
→ Developing Django REST APIs with AI-powered endpoints
→ Exploring LLM fine-tuning and RAG architectures
💬 "What's your strongest skill?"
🤖 → Python across all layers: data, model training, and web backend
→ End-to-end ML workflows: data → training → deployment
| Skill | Proficiency | Level |
|---|---|---|
| 🐍 Python | ████████████████████ 95% |
Expert |
| 🧠 TensorFlow | ██████████████████░░ 88% |
Advanced |
| 📊 Scikit-learn | ███████████████████░ 90% |
Advanced |
| 🐼 Pandas | ███████████████████░ 92% |
Advanced |
| 🔢 NumPy | ███████████████████░ 91% |
Advanced |
| 🌐 Django | █████████████████░░░ 85% |
Advanced |
🔬 Research → Large Language Models & Fine-tuning
🏗️ Building → AI-powered Django REST APIs
📚 Learning → MLOps, Model Deployment, RAG Systems
🤝 Open to → AI/ML collaborations & open source contributions
Watching a model learn — epoch by epoch, loss goes down, intelligence goes up.
✨ Crafted with passion by Honore · AI Engineer & ML Developer ✨
"The best way to predict the future is to build it with AI."
