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Production AI systems, end to end

Case studies in shipping RAG pipelines, agent workflows, and the infrastructure that keeps them reliable. Expand any card for the engineering decisions behind it.

RAGLLMBackendInfrastructure

AWS-Deployed Production RAG API

Production RAG service on ECS Fargate serving live retrieval + generation.

2026
API Gateway / ALB
FastAPI service (ECS Fargate, autoscaled)
Retrieval: OpenSearch + pgvector hybrid
Embedding cache + async top-k rerank
S3 document store · CloudWatch observability

A citation-grounded Retrieval-Augmented Generation API deployed on AWS ECS Fargate with REST endpoints for ingestion, chunking, embedding, retrieval, and grounded generation over 120K+ document chunks.

4.8s → 1.9s
P50 latency
120K+
Doc chunks
API-key + request validation
Auth
RAGAgentsLLMAI

Graph-RAG Knowledge Assistant

Hybrid vector + knowledge-graph retrieval for multi-hop reasoning.

2025
LangGraph orchestrator (classify → retrieve → traverse → synthesize)
Semantic vector retrieval
Neo4j graph expansion (Cypher)
Graph-constrained context validation
Dockerized FastAPI backend

A knowledge assistant combining semantic vector search with Neo4j knowledge-graph traversal, orchestrated through LangGraph, for multi-hop reasoning over tightly interconnected documents.

61% → 84%
Multi-hop QA
75K+
Entities indexed
210K+
Relationships
AgentsLLMRAGMLOps

EcoRatings Agentic AI Platform

Dockerized FastAPI AI services on AWS with agentic ESG workflows.

2026
Fallback model router (OpenAI / Anthropic / open-weight)
LangGraph agents: tools · state · validation · human review
Hybrid retrieval: pgvector + Chroma + rerank
ECS Fargate autoscaling · CloudWatch monitoring
LLM evaluation harness gating releases

Production AI services powering ESG analysis: citation-grounded RAG over domain documents plus LangGraph multi-step agentic workflows with tool execution, validation loops, and human-review checkpoints.

3+
Providers routed
Automated evals
Release gate
Autoscaled Fargate
Deploy
BackendInfrastructureFull StackMLOps

GCP Event-Driven Backend Platform

Cloud Run services + Pub/Sub pipelines with production observability.

2025
Cloud Run services (autoscaled, versioned revisions)
REST APIs: authz · validation · pagination · error handling
Async: Cloud Functions + Pub/Sub + scheduled jobs
Cloud SQL (Postgres/MySQL) — indexed + tuned
IAM + Secret Manager · Cloud Logging/Monitoring/alerts

Production backend services on GCP: FastAPI/Django on Cloud Run with autoscaling and versioned revisions, plus async event-driven processing via Cloud Functions, Pub/Sub, and scheduled jobs.

Event-driven
Processing
IAM + Secret Manager
Config
Logs + alerts
Observability