Blogs
AI/ML
MLOps
FastAPI for ML Model Serving: Best Practices and Performance Optimization
July 27, 2025
//7 min read
My Projects
AI Model Monitoring Dashboard
Real-time monitoring and alerting system for ML models in production using FastAPI, Prometheus, and Grafana.
FastAPI
Prometheus
Grafana
Docker
PostgreSQL
Redis
LangChain RAG System
Retrieval-Augmented Generation system built with LangChain and vector databases for intelligent document processing and question answering.
LangChain
OpenAI
Pinecone
FastAPI
Streamlit
Docker
MLOps Pipeline Framework
End-to-end MLOps pipeline using Kubeflow, MLflow, and Kubernetes for scalable AI model deployment and monitoring.
Kubeflow
MLflow
Kubernetes
Python
Docker
Prometheus
Grafana
Cloud-Native CI/CD for ML
Automated ML model training and deployment pipeline using Jenkins, ArgoCD, and Google Cloud Platform.
Jenkins
ArgoCD
GCP
Terraform
Kubernetes
Python