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sanjeev29/README.md

Hi, I'm Sanjeev 👋

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.

What I work on

  • 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

Recent open-source (mostly agent tooling)

  • 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.

Stack

Python · Go · TypeScript · FastAPI · Django · Node.js · GraphQL · PostgreSQL · Redis · Kafka · AWS · Docker · Terraform · Prometheus · Grafana · MCP

Reach me

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  1. scout-browser-agent scout-browser-agent Public

    A minimal LLM agent that drives a real browser via a 4-layer perception cascade: HTTP text extraction, accessibility-tree legend, and set-of-marks vision.

    Python 1

  2. AxiomLoop AxiomLoop Public

    Agent that researches a question across arXiv & Google Scholar, records structured evidence, and writes a cited answer with a typed contradiction verifier.

    Python