API Gateway / Load Balancer
Auth Service
ML Inference
Core API
PostgreSQL
Redis Cache
System Architecture.
My philosophy on building resilient, scalable, and secure backend systems for modern AI applications.
High-Performance APIs
Leveraging FastAPI and asynchronous Python to build non-blocking, highly concurrent microservices capable of handling thousands of requests per second.
Robust Data Layers
Designing normalized PostgreSQL schemas for ACID compliance, paired with Redis caching strategies to minimize database load and reduce latency by up to 50%.
Security by Design
Implementing strict Role-Based Access Control (RBAC), Row-Level Security (RLS) for multi-tenancy, and JWT authentication across all service boundaries.
AI/ML Integration
Deploying heavy ML models (InsightFace, BLIP-2) into production using optimized inference engines, background task queues (Celery), and GPU acceleration.
Scalable Infrastructure
Containerizing applications with Docker and orchestrating deployments on AWS using Kubernetes, ensuring 99.99% uptime and auto-scaling capabilities.
Observability & Monitoring
Integrating comprehensive logging, tracing, and metrics to detect anomalies before they impact users, facilitating rapid incident response.