I architect systems where intelligence is a first-class concern — not a feature bolted on after the fact.
Production LLM pipelines, high-throughput FastAPI services, PostgreSQL at depth, and the observability infrastructure that keeps complex systems honest.
I've built across food tech, healthcare, retail, and voice analysis. The domain changes. The discipline doesn't.
┌──────────┐ ┌─────────────────────────┐ ┌──────────────────────┐ ┌─────────────────────┐ ┌───────────────────┐
│ Client │ ──▶ │ API Layer │ ──▶ │ AI / LLM │ ──▶ │ Data │ ──▶ │ Observe │
│ │ │ │ │ │ │ │ │ │
│ REST │ │ FastAPI · Django │ │ Claude · OpenAI │ │ PostgreSQL · MySQL │ │ Datadog · APM │
│ JSON │ │ Flask · Node.js │ │ RAG · Embeddings │ │ Redis · MongoDB │ │ Traces · Logs │
└──────────┘ └─────────────────────────┘ └──────────────────────┘ └─────────────────────┘ └───────────────────┘
| Layer | Tools |
|---|---|
interface |
FastAPI · Django · Flask · Node.js |
ai / llm |
Claude API · OpenAI · RAG · Embeddings |
data |
PostgreSQL · MySQL · Redis · MongoDB |
observe |
Datadog · APM · Distributed Tracing |
runtime |
AWS · Docker · CI/CD |
language |
Python · JavaScript · SQL |
01 — Observability first A system you can't measure is a system you can't trust. APM, tracing, and structured logs are not afterthoughts.
02 — AI in the critical path LLMs belong in production. Latency budgets and fallback paths are constraints, not nice-to-haves.
03 — Data integrity over speed Indexing, MVCC, query planning — these are architectural decisions, not DBA concerns.
04 — APIs as contracts Every endpoint is a promise. Pydantic makes those promises enforced.
Restaurant tech Healthcare Retail Voice & text analysis Food supply chain Cloud infrastructure
github.com/vimleshbhatt-official