Building an automated workflow through Bitbucket and AWS components

In one of my projects, I built an automated workflow so that whenever an entity on Bitbucket gets updated through a push to a certain repository, some of the files in that repo would be transformed into different files by a serverless application on AWS.

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Coursera

Serving a machine learning model’s predictions through AWS Lambda and API Gateway

In one of my projects, I worked on persisting the periodic output of an already developed machine learning model after enriching it with some metadata and then serving this enriched output through an API on AWS API Gateway.

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Coursera

Building an end-to-end machine learning pipeline as a microservice

In one of my projects, my work focused on building end-to-end machine learning pipelines for training and inference phases of a machine learning model. Head over to this post for diving into those, component by component.

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My experiences as a Machine Learning Engineer

In my previous role as a consultant Machine Learning Engineer, I worked on a few different projects and all of them were quite fun in different ways!

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