Shreya Rajpal
VERIFIED TECHNICAL DOSSIERSources checked

Shreya Rajpal

Founder & CEO, Guardrails AI | Reliable LLM Execution & Validation Pioneer

2 Verified ArtifactsSource Checked & Attributed

Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Shreya Rajpal. Every entry undergoes editorial source verification.

#1
IMPLEMENTATION Checked Sep 20, 2026

Guardrails Hub: Community Validation Registry for Enterprise AI Integrity

A community-driven package ecosystem created by Guardrails AI providing modular, composable validators for LLM inputs and outputs, covering PII masking, toxic content filtration, regex conformity, and deterministic schema enforcement.

Model & Execution Context:Python runtime compatible with OpenAI, Anthropic, Bedrock, and open-source Hugging Face endpoints.
Scope & Limitations

Validation latency adds sequential overhead to streaming responses; regex and semantic checks require tuning to balance precision and recall.

#2
IMPLEMENTATION Checked Sep 20, 2026

Guardrails: Adding Guardrails to Large Language Models with Structured Validation

An open-source specification language (RAIL) and runtime engine enforcing structure, type, and semantic quality constraints on LLM outputs with automated corrective re-asking loops.

Model & Execution Context:Python, Pydantic, JSON Schema validation, and multi-model LLM APIs.
Scope & Limitations

Corrective re-asking loops introduce additional inference latency and token overhead on malformed generations.