Building intelligent systems with LLMs, RAG, and Multi-Agent AI. Turning complex AI research into production-ready solutions.
class AIEngineer:
def __init__(self):
self.name = "Mohammed Aftab"
self.role = "AI Engineer & Developer"
self.experience = "2.5+ years in GenAI & LLM Systems"
self.location = "Bengaluru, India ๐ฎ๐ณ"
def current_focus(self):
return {
"building": [
"Intelligent systems with LangChain & LangGraph",
"RAG-based applications for complex workflows",
"Multi-agent orchestration systems",
"Production-ready AI solutions"
],
"exploring": [
"Advanced RAG architectures & optimization",
"Multi-agent systems & orchestration",
"LLM fine-tuning & prompt engineering",
"Anthropic's Model Context Protocol"
]
}
def expertise(self):
return {
"specialization": "LLM Applications & Agentic AI",
"focus_areas": ["RAG Systems", "NL2SQL", "Multi-Agent AI"],
"tech_stack": ["LangChain", "LangGraph", "Azure", "Python"],
"domains": ["AI Automation", "Data Intelligence", "NLP"]
}
# Initialize AI Engineer
aftab = AIEngineer()
print(aftab.expertise())
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