Backend & distributed-systems engineer. I build the systems behind fast, reliable products — event-driven backends, real-time infrastructure, and the observability and CI/CD foundations teams depend on. Most of my career has been as an early or founding engineer, taking vague concepts to production without a playbook.
Recently I've been going deep on agentic AI and MCP tooling, bringing a reliability-first mindset to LLM systems: typed tool boundaries, verifier passes, and evals so agents actually hold up in production.
- Distributed & event-driven backends — Python, Go, Node.js, FastAPI, Django, GraphQL
- Real-time systems — scaled livestream chat to 1,000+ concurrent viewers at sub-50ms delivery
- Observability & reliability — SLO-driven on-call, Prometheus/Grafana RED metrics, cut high-severity MTTR by nearly half
- Data & infra — PostgreSQL, Redis, Kafka, DynamoDB, AWS (Lambda, ECS, SQS), Docker, Terraform
- Agentic AI — MCP servers, tool-use loops, RAG, typed Pydantic boundaries, agent evals
- scout-browser-agent — LLM agent that drives a real Chromium browser via a 4-layer perception cascade; typed action schema, 40 tests in CI.
- AxiomLoop — research agent that maps who-claims-what across sources, with a verifier pass that catches fabricated citations. MCP + typed Pydantic.
Python · Go · TypeScript · FastAPI · Django · Node.js · GraphQL · PostgreSQL · Redis · Kafka · AWS · Docker · Terraform · Prometheus · Grafana · MCP
- LinkedIn: linkedin.com/in/sanjeev-raichur
- Email: sanjeevraichur29@outlook.com



