class ZarinaNurzhanova:
def __init__(self):
self.role = ["Backend Developer", "Data Engineer", "ML Engineer"]
self.location = "Kazakhstan 🇰🇿"
self.languages = ["Python", "SQL", "Bash"]
self.currently = "Building scalable data pipelines & ML systems"
def daily_stack(self):
return {
"backend": ["FastAPI", "Django", "Flask", "asyncio"],
"data": ["Apache Airflow", "Spark", "Kafka", "dbt"],
"ml": ["PyTorch", "scikit-learn", "MLflow", "Hugging Face"],
"storage": ["PostgreSQL", "ClickHouse", "Redis", "S3"],
"devops": ["Docker", "Kubernetes", "GitHub Actions", "Terraform"],
}
def motto(self):
return "Clean data → smart models → reliable systems 🚀"
❤️🔥
Focusing
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gpu_flow
gpu_flow PublicGPUFlow is a full-stack system for managing GPU resource queues and JupyterHub sessions, built with FastAPI, PostgreSQL, and async workers. It provides role-based access (user/admin), real-time upd…
Python
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