AI Infrastructure
Fine-tuning adapts pre-trained models to specific domains using curated datasets. This GCP-native pipeline covers the full lifecycle: data collection and cleaning via Dataproc, format conversion (JSONL, Parquet), distributed training across GKE GPU node pools, evaluation against held-out test sets, A/B comparison with baseline models, and promotion to the Vertex AI model registry. Designed for ML teams adapting foundation models to domain-specific tasks with reproducible experiments and version-controlled datasets.
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Data preprocessing runs on Dataproc Spark clusters that scale based on dataset size. Training jobs use GKE with GPU node pools and support data parallelism across multiple nodes. Cloud Storage stores datasets, checkpoints, and final model artifacts. The evaluation pipeline runs concurrently with training on separate GKE pods, and Firestore tracks experiment metadata for reproducibility. Pub/Sub orchestrates pipeline stages with failure retry.
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.
Real-Time Recommendation Pipeline
AI Infrastructure
Low-latency recommendation engine combining collaborative filtering, content-based signals, and real-time user behavior for sub-50ms scoring.
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.
Fine-Tuning Pipeline
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