Focus: LLM Agents • RAG • React/TypeScript • Python/Node • Postgres • Cloud/Observability
- Build LLM agents with tool-calling, retries/fallbacks, guardrails, and human-in-the-loop escalation.
- Ship RAG systems that stay grounded: chunking strategy, hybrid retrieval, reranking, citations, eval harness, and monitoring.
- Deliver fast, consistent UI in React/Next.js with clean state management, testing, and performance discipline.
- Engineer reliable backends: FastAPI/Django/Node, Postgres, queues, webhooks, idempotency, rate-limits, and observability.
- Own features end-to-end: discovery - architecture - implementation - rollout - SLI/SLOs and iteration.
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