class SaiSivaSrinivas:
def __init__(self):
self.name = "Sai Siva Srinivas Munduru"
self.role = ["AI Engineer", "Full Stack Developer", "Java Backend Developer"]
self.focus = [
"Production-grade LLM apps, RAG pipelines & agent workflows",
"Hybrid search • Vector DBs • RAGAS-driven evaluation",
"Multi-tenant SaaS platforms with real-time UX",
"Distributed Java microservices with Kafka & Spring Boot",
]
self.education = "B.Tech CSE · Sir CRR College of Engineering · GPA 8.1/10"
def current_stack(self):
return {
"ai_ml" : ["LangChain", "LlamaIndex", "LangGraph", "CrewAI", "AutoGen", "RAGAS"],
"backend" : ["FastAPI", "Spring Boot", "NestJS", "Node.js", "Express.js"],
"frontend": ["Next.js", "React", "TypeScript", "Tailwind CSS", "ShadCN UI"],
"infra" : ["Docker", "AWS (EC2, S3)", "Redis", "Kafka", "Pinecone", "PostgreSQL"],
}
def fun_fact(self):
return "I ship grounded RAG answers with timestamp citations — not just vibes ☕"
