I help you deploy AI and machine learning models using AWS services — from EC2 to SageMaker, Lambda, and containerized inference endpoints. Whether you're working with NLP, image recognition, predictive analytics, or custom LLMs, I make your models accessible, secure, and scalable.
My service includes:
Model packaging and Docker container creation
Deployment on EC2 (GPU/CPU) or AWS SageMaker endpoints
Secure API gateway setup (with keys, rate limiting, logging)
Automatic scaling and monitoring with CloudWatch
Optional Lambda-based lightweight inference pipelines
Integration with S3 (for model or data storage), DynamoDB, RDS or Athena
IAM role setup for secured access and billing control
Documentation for reuse and further training
I’ve worked with TensorFlow, PyTorch, Transformers, and OpenAI-compatible APIs — and I make sure your model is not just running, but production-ready.