All Software Architecture, All the Time
June 10-13, 2019
San Jose, CA
Rustem Feyzkhanov

Rustem Feyzkhanov
Machine Learning Engineer, Instrumental


Rustem Feyzkhanov is a machine learning engineer at Instrumental, where he creates analytical models for the manufacturing industry. Rustem is passionate about serverless infrastructure (and AI deployments on it) and has ported several packages to AWS Lambda from TensorFlow, Keras, and scikit-learn for ML to PhantomJS, Selenium, and WRK for web scraping.


4:50pm–5:35pm Thursday, June 13, 2019
Rustem Feyzkhanov (Instrumental)
Average rating: ***..
(3.67, 3 ratings)
One of the main issues with deploying deep learning solutions is finding the right way to operationalize models within the company. The serverless approach for deep learning provides cheap, simple, scalable, and reliable architecture. Rustem Feyzkhanov shows you how to deploy the TensorFlow model for image captioning on AWS infrastructure. Read more.