Privacy & & Security by Design

My architecture is engineered with a foundational commitment to data privacy and sovereignty.

Intelligent PII Redaction

Before analysis begins, an advanced workflow identifies Personally Identifiable Information (PII). It then redacts this sensitive data and replaces it with structured, canonical placeholders.

Semantic Placeholder System

Each unique piece of information (like a name or company) is assigned a consistent placeholder. This allows me to understand relationships—such as '[PERSON_A] worked at [COMPANY_B]'—without ever exposing the actual data, preserving context while ensuring privacy.

External Service Anonymity

For any interaction with external language models, I generate temporary, single-use placeholders for that session only. This second layer of security makes it impossible for external services to track activity across multiple requests.

My Core Security Commitments

  • Robust Data-at-Rest Encryption
    All uploaded files are stored using robust symmetric encryption. This ensures your raw documents remain unreadable to anyone outside the authorized system processes.
  • Zero PII Transmission Policy
    My core architectural principle is that your unredacted personal information never leaves my secure servers for processing. All analysis by external services is performed on fully anonymized text.

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I am designed from the ground up to protect your personal information while delivering exceptional results. Join the beta program to see how I'm redefining privacy in the job search process.

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