AI Infrastructure
Real-time recommendations combine pre-computed collaborative filtering scores with live user behavior signals to suggest relevant content, products, or connections. This pipeline merges offline model outputs (computed in batch) with online features (recent clicks, cart items, time of day) through a feature assembly layer, then ranks candidates using a lightweight scoring model that responds in under 50ms. Built for product teams powering homepage feeds, product suggestions, or content rankings that adapt to user behavior in real time.
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Pre-computed recommendation candidates are stored in ElastiCache for instant retrieval. Kinesis captures real-time user events (clicks, views, purchases) that update user feature vectors in DynamoDB. The scoring service on ECS scales horizontally with request-level autoscaling. OpenSearch provides content-based filtering as a fallback for cold-start users. Batch model retraining runs daily and publishes new scores to the cache.
Multi-Agent AI System
AI Infrastructure
Orchestrated multi-agent system where specialized AI agents collaborate on complex tasks with shared memory and tool use.
LLM Inference Pipeline
AI Infrastructure
Production LLM serving on Azure with AKS GPU workers, request batching, KV cache management, and streaming token delivery.
Fine-Tuning Pipeline
AI Infrastructure
End-to-end ML fine-tuning pipeline on GCP with Vertex AI, Dataproc preprocessing, distributed training, and model registry.
RAG AI Knowledge Base
OpenAI Pattern
Retrieval-Augmented Generation pipeline with vector search, embedding generation, and LLM orchestration for enterprise AI apps.
Vector Database System
AI Infrastructure
Purpose-built vector database on OCI with HNSW indexing, hybrid search, metadata filtering, and multi-tenant isolation using OKE and Autonomous Database.
Model Serving Platform
AI Infrastructure
Multi-model serving platform on OCI with canary deployments via OKE, A/B testing, OCI Cache feature store, and automatic model rollback.
Real-Time Recommendation Pipeline
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