class Raman:
def __init__(self):
self.username = "raman7072"
self.roles = ["AI Engineer", "Data Engineer", "Systems Architect"]
self.focus = ["Agentic AI Systems", "LLM Orchestration", "Big Data Pipelines"]
self.architecture = {
"ai_agents": ["LangGraph", "LangChain", "LangSmith", "Groq", "Hugging Face"],
"data_pipelines": ["PySpark", "Databricks", "ETL Pipelines", "ADF", "ADLS Gen2", "ClickHouse"],
"backend_apis": ["FastAPI", "Django REST", "PostgreSQL", "Redis", "Starlette"],
"edge_and_iot": ["Raspberry Pi", "ESP32-S3", "Mosquitto MQTT", "Modern C++"]
}
self.currently = "Architecting autonomous multi-agent pipelines & distributed data platforms π"
def execute(self):
return "Transforming complex data streams and multi-agent workflows into robust production systems."
me = Raman()
print(me.execute())
π€ blog_agent
Autonomous Neural Multi-Agent System
|
End-to-End Enterprise Big Data Pipeline
|
π¦οΈ weather-pipeline
Automated Meteorological ETL Pipeline
|
Edge Telemetry & Pub/Sub Microservice
|
LEVEL: COMMIT HUNTER β SPEED: 1.0x β STATUS: EATING COMMITS π