FastAPI / Python Backend for AI Products by Disha ChopraFastAPI / Python Backend for AI Products by Disha Chopra
FastAPI / Python Backend for AI ProductsDisha Chopra
Python backends for AI-powered products - API design, ML model serving, and integrations with vector databases and LLM providers.
Recent example: a FastAPI backend with dedicated risk-scoring, agent-conversation, and dashboard routers, serving an XGBoost model with SHAP explainability, backed by PostgreSQL and Celery for scheduled re-scoring.
What you get:
REST API designed around your use case
ML model serving (XGBoost, ONNX, PyTorch, or your existing model)
Vector DB and LLM provider integration where needed
Clean documentation for handoff
Best for: serving ML models in production, backend for AI agent products, adding a Python service layer to an existing app.
FastAPI / Python Backend for AI ProductsDisha Chopra
Starting at$300
Duration1 week
Tags
FastAPI
PostgreSQL
Python
Backend Engineer
Python backends for AI-powered products - API design, ML model serving, and integrations with vector databases and LLM providers.
Recent example: a FastAPI backend with dedicated risk-scoring, agent-conversation, and dashboard routers, serving an XGBoost model with SHAP explainability, backed by PostgreSQL and Celery for scheduled re-scoring.
What you get:
REST API designed around your use case
ML model serving (XGBoost, ONNX, PyTorch, or your existing model)
Vector DB and LLM provider integration where needed
Clean documentation for handoff
Best for: serving ML models in production, backend for AI agent products, adding a Python service layer to an existing app.