class AIEngineer:
def __init__(self):
self.name = "Rahul Samant"
self.role = "Data Scientist & ML Engineer"
self.location = "Building AI Solutions 🌍"
self.expertise = {
"AI/ML": ["LLMs", "GenAI", "NLP"],
"Infrastructure": ["Spark", "AWS", "MLOps"],
"Data": ["Big Data", "MongoDB", "SQL", "Data Pipeline"],
}
self.current_research = ["Agentic AI", "Multi-Modal LLMs", "RAG Systems", "MCP Server", "A2A Protocol"]
def life_motto(self):
return "Transforming ideas into intelligent solutions, one model at a time! 🚀"
me = AIEngineer()
print(me.life_motto())- 🧠 Architecting Large Language Model applications at scale
- 🛠️ Developing RAG-powered AI solutions for enterprise use cases
- 📊 Building robust MLOps pipelines for production deployment
- 🌟 Contributing to open-source AI projects
- 📚 Researching multi-modal AI systems and their applications
🤖 AI & Machine Learning
☁️ Cloud & DevOps
📊 Data Engineering
