I will deploy your machine learning model as a scalable API
About this gig
Have a trained model but no way to serve it? I turn ML models into fast, reliable APIs. With 9+ years in backend and ML infrastructure, I have built defect-detection inference platforms and cut API latency by 45 percent.
WHAT I DELIVER:
- Serve models as FastAPI endpoints (PyTorch, ONNX, scikit-learn, TensorFlow)
- - TorchServe and ONNX Runtime optimization for speed
- - Dockerized inference with preprocessing and input validation
- - Deployment to AWS Lambda, ECS or GPU instances
- - Monitoring, logging and load testing so it holds up in production
Every order includes full source code and a clear deployment guide. Share your model and target latency or traffic and I will recommend the right package.
Get to know Avtar S
Senior Backend and Cloud Engineer, Python, AWS, APIs, Automation
- FromIndia
- Member sinceApr 2026
- Avg. response time1 hour
Languages
Hindi, Punjabi, English
My Portfolio
Other AI Development Services I Offer
FAQ
Which model formats do you support?
PyTorch (.pt), ONNX, scikit-learn (pickle/joblib) and TensorFlow/Keras. Send yours and I will confirm compatibility before you order.
Do you deploy to my own cloud account?
Yes. I deploy to your AWS or GCP account, or hand over a Dockerized app you can run anywhere.

