Hi,I'm Rauan, a Software Engineer who enjoys translating business problems to software products.
- 🔭 I usually work on automating and orchestrating custom pipelines for data extraction, ML model deployment and tracking in production (Google Kubernetes Engine, Vertex AI)
import json
from dataclasses import asdict, dataclass
@dataclass
class MLStack:
external_databases : tuple = ("PostgreSQL", "Oracle", "IBM_DB")
machine_learning : tuple = ("TensorFlow", "Scikit-Learn", "PyTorch", "xgBoost", "HyperOpt")
apache_stack : tuple = ("Apache Spark", "Hive", "NiFi", "Flink", "Apache Knox")
cloud_stack : tuple = ("Google Kubernetes Engine")
production : tuple = ("Vertex AI", "Kubeflow","Luigi", "Airflow")
os : tuple = ("ZooKeeper", "Alpine Linux")
def serialize(self):
return json.dumps(asdict(self), indent=4)
stack = Stack()
print(stack.serialize())
import json
from dataclasses import asdict, dataclass
@dataclass
class MLStack:
external_databases : tuple = ("PostgreSQL", "Oracle", "IBM_DB")
machine_learning : tuple = ("TensorFlow", "Scikit-Learn", "PyTorch", "xgBoost", "HyperOpt")
apache_stack : tuple = ("Apache Spark", "Hive", "NiFi", "Flink", "Apache Knox")
cloud_stack : tuple = ("Google Kubernetes Engine")
production : tuple = ("Vertex AI", "Kubeflow","Luigi", "Airflow")
os : tuple = ("ZooKeeper", "Alpine Linux")
def serialize(self):
return json.dumps(asdict(self), indent=4)
stack = Stack()
print(stack.serialize())
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