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2024LLM Guardrail Gateway

Enterprise AI Resume Checker

Hardened full-stack microservice with LLM guardrails for semantic resume parsing.

Technologies Used

PythonFlaskGroqLlama 3.3PydanticVercel

Built a hardened full-stack microservice that semantically maps candidate qualifications against job description requirements using the Groq LPU inference engine running Llama 3.3 70B.

Designed a three-layer LLM Guardrail Gateway: a regex-based prompt injection scanner, a PII redactor under GDPR principles, and a Pydantic BaseModel schema validator for deterministic JSON output.

Deployed as a Vercel Serverless Function with automatic scaling and minimal cold start latency, serving both static frontend assets and the Python worker from a single vercel.json configuration.

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