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Report abuseI build agentic AI systems, production RAG, and evaluation infrastructure, the kind of work that has to survive real traffic, not just a demo.
I care about retrieval quality, agent reliability, and whether a system actually works — which is why I build evals for the things I ship.
The portfolio has a working terminal with a RAG agent inside. Press / at shauryagulati.dev and type shaurya.
pytest for RAG agents — behavioral audits (tool coverage, citation verification, hallucination guardrails, edge cases) with PASS/FAIL/WEAK verdicts. CI-friendly, MIT-licensed.
Python
AI-native operations layer for independent specialty practices: referral→outreach loop, LLM extraction with per-field evals, hybrid-RAG prior-auth, fail-closed tenant isolation.
JavaScript
Multi-agent RAG for EU tech/data/AI legislation — a query-planner → FAISS retrieval → cross-encoder rerank → LLM-synthesizer → reviewer loop, wrapped in a learning portal with progress tracking and…
Python 1
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