I deploy AI and machine learning models into production environments, wrapping them as secure, scalable APIs that can be consumed by web or mobile applications. Whether you're using OpenAI, Hugging Face, or custom-trained models — I help you go from notebook to real-world product.
My service includes:
API wrapping using FastAPI or Flask (with JSON inputs/outputs)
Dockerized deployment and environment isolation
GPU or CPU model hosting (TorchServe, Transformers, ONNX Runtime, etc.)
Rate limiting, authentication, and usage monitoring
Async processing for large input/output handling (via Celery or background tasks)
Logging, error handling, and retry logic
Optional integration with frontends (React, Django, dashboards)
Scalable deployment to AWS/GCP or local servers (Docker, EC2, etc.)
I’ve worked on projects using LLMs (GPT, LLaMA, Mistral), image classification, NLP, and vector embeddings — helping teams go beyond the prototype.