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Stane Aurelius Ronotana
Cloud and Data Engineer, Supertype.ai
A certified Google Cloud Professional Data Engineer and Tensorflow Developer, Stane is keen on leveraging the use of cloud computing services to streamline data and machine learning pipelines. In addition to combining programming expertise and intricate mathematical ideas to create accurate custom deep learning models, he is also passionate on optimizing the whole environment and flow process of data.
Articles
Data Warehouse Modernization with BigQuery
2 years ago
A detailed documentation on building a modern data warehouse in BigQuery featuring storage and performance optimization
Introduction to Apache Airflow
3 years ago
Everything you need to know to get started using Apache Airflow
Serving PyTorch Models Using TorchServe
3 years ago
How to use TorchServe to serve your PyTorch model (detailed TorchServe tutorial)
The Essential Guide to Docker
3 years ago
Demystifying Docker, Docker-Compose & Docker Desktop (comprehensive docker guide / docker tutorial) for beginners, ft. a real Streamlit app example.
Deploying Machine Learning models with Vertex AI on Google Cloud Platform
3 years ago
Most data scientists prototypes their ML model using a notebook. Fortunately, GCP offers Vertex AI Workbench, a Jupyter-based infrastructure where you can host and manage your notebook for development.
My Stack
















Affiliations
- Handles cloud-related engineering operations in the company
- Providing optimizations, in terms of both cost and performance, to the use of cloud computing services for storing and processing data
- Works on client projects, with varied topics including but not limited to data analytics, machine learning, and automation
- Author and creator of the Google Cloud elective offered in the Supertype Fellowship program
Last 12 Months
Number of public contributions on GitHub
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