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You will get a robust AI model API deployed using FastAPI and Docker

Surjeet S.Status: Offline
Surjeet S. Surjeet S.
Rising Talent
Preview image

Let a pro handle the details

Buy Machine Learning services from Surjeet, priced and ready to go.
Surjeet S.Status: Offline
Surjeet S. Surjeet S.
Rising Talent
Preview image

Let a pro handle the details

Buy Machine Learning services from Surjeet, priced and ready to go.

Project details

Are you looking to take your machine learning models out of development and into a production-ready environment? I specialize in building and deploying AI models as scalable, secure, and highly efficient backend APIs.

Whether you are working with computer vision models like YOLO or specialized NLP tasks, I will architect a robust deployment pipeline. Using Python and FastAPI, I will create high-performance endpoints tailored to your data requirements. Furthermore, I will containerize the entire application using Docker, ensuring that your AI solution runs seamlessly and consistently across any environment, from local servers to edge devices and cloud platforms.

You will receive a fully tested API, clean source code, the complete Docker setup, and clear documentation. Let's transform your AI concepts into reliable, production-ready backend solutions.
Machine Learning Tools
GitHub Copilot, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Sonnet, TensorFlow, XGBoost
What's included
Service Tiers Starter
$150
Standard
$350
Advanced
$800
Delivery Time 3 days 7 days 14 days
Number of Revisions
123
Number of Model Variations
123
Number of Scenarios
124
Number of Graphs/Charts
012
Model Validation/Testing
-
Model Documentation
-
Data Source Connectivity
-
Source Code

Frequently asked questions

Surjeet S.Status: Offline

About Surjeet

Surjeet S.Status: Offline
AI Deployment Engineer | FastAPI & Docker Expert
Lucknow, India - 9:09 pm local time
I specialize in creating robust AI solutions as a Python Developer and AI Deployment Engineer, with a decade of overall experience. At Criterion Tech, I designed and built production-ready machine learning systems, mastering end-to-end AI pipelines from data processing to deployment on Edge devices and Docker environments. My expertise in automation, system stability, and fault-tolerant architectures through tools like Node-RED and Flask ensures optimal performance across applications. I have also served as a Senior Technical Trainer, equipping teams with vital skills in technology and system administration. If you need a reliable partner to elevate your AI initiatives, I am here to support you in achieving your project goals efficiently and effectively. Let's explore how I can assist you in transforming your ideas into reality.

Steps for completing your project

After purchasing the project, send requirements so Surjeet can start the project.

Delivery time starts when Surjeet receives requirements from you.

Surjeet works on your project following the steps below.

Revisions may occur after the delivery date.

Architecture Design & API Setup

I will design the backend architecture and develop a robust FastAPI application to serve your AI model, ensuring secure routing and optimal data validation.

Docker Containerization

The FastAPI application and all dependencies will be containerized using Docker, creating an isolated, production-ready environment for seamless deployment.

Review the work, release payment, and leave feedback to Surjeet.