charlieforward9

Design Pattern: Deploying ML models to production apps

An abstraction to guide ML system design and operation. MLOps can use this pattern as a discipline to deploy ML pipelines to production quickly and effectively.

The fact is ML applications introduce a new culture; their deployment and operations require new discipline and processes different from the existing DevOps practices" -Xu

Summarized notes from this thesis

Common Problems

charlieforward9

Flutter AI Server: Overview, Design & Considerations

Conversation with ChatGPT Model-4

Overview of the various options, with a deep dive into the implementation using AWS Amplify with the GraphQL API capabilities. Finished with real-time feedback considerations.

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Chat Name: Flutter AI Server Implementation

charlieforward9

We're on the hunt for an exceptional talent with machine learning expertise and an itch to in deploy ML pipelines into an iOS applications.

In this pivotal role within our healthcare-focused start-up, you'll have the opportunity to create state-of-the-art models to analyze human movement data with clinical precision. This role is more than a job - it's a unique chance to contribute to ground-breaking health tech solutions that have the potential to significantly improve patient outcomes and therapists’ quality of work.

Do you get the Vision?

Responsibilities:

• Develop and implement AI and ML models to extract insights from video data.