FastAPI

What combination of technologies is best to use with FastAPI for an AI/ML API?

The question is about FastAPI .

Answer:

For an AI/ML API, use FastAPI with Python, Pydantic, PostgreSQL, Redis cache, Celery or RQ for background tasks, Docker, React/Next.js frontend, and host on GCP Cloud Run or AWS ECS. Add PyTorch, TensorFlow, or vector search tools only as you need them.

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David is a Senior Software Engineer with 8 years of experience specializing in scalable backend systems using Python, Django, and FastAPI. He has demonstrated expertise in PostgreSQL and has worked extensively with various te... Read More

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Senior
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40 h/w
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8 yrs.
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Alex is a skilled Full-Stack Engineer with 7 years of experience in software development, specializing in ASP.NET Web API, Angular (2x+), C#, TypeScript, and Git. He has effectively led teams in both front-end and back-end de... Read More

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Senior
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40 h/w
Experience
6 yrs.
English
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Ivan is a Backend Software Engineer with 5 years of experience in designing and developing efficient applications. He specializes in Python, Django, FastAPI, PostgreSQL, and GraphQL, while also utilizing Docker for containeri... Read More

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40 h/w
Experience
5 yrs.
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Victoriia S.

Victoriia is a skilled Flutter Developer with 4 years of experience in mobile application development. She specializes in frameworks such as Flutter, leveraging JavaScript, DART, and utilizes databases like MySQL and Firebase... Read More

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20 - 30 h/w
Experience
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English
C1
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Cortance's work resulted in a 30% reduction in development time, exceeding expectations. Their high-quality resource leasing was instrumental in surpassing the project goals, which set new benchmarks for the client. Cortance's ability to provide highly skilled tech professionals was exceptional.

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Cortance provided us with three AI/ML experienced backend developers who met our tech expectations and integrated into our team well. They picked up our workflows quickly and, because of their solid experience, helped us to sort all the Machine learning-related tasks. The hiring process was also fast and efficient, which helped us scale without delays.

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