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Preamble - AI Security

Year

2025

Tech & Technique

Node.js, React.js, Python, Flask, Kafka, PostgreSQL, OAuth2, Jest, Pytest, NLP, Microservices

Description

A full-stack AI security & compliance platform (“AI Trust Platform”) that adds guardrails, monitoring, and policy enforcement around LLMs and AI apps.

Key Features:
  • 🤖 AI Trust Platform: Contributed in core architecture to handle large-scale data ingestion and integrated NLP
  • 🔒 Customizable Guardrails System: Implemented advanced guardrails and monitoring tools to ensure data integrity and compliance with client privacy standards during data analysis.
  • 📊 Rewrote legacy front-end components in React to improve maintainability and user experience, facilitating easier review and annotation of AI-processed data.
  • ⚡ Improved data pipelines using Kafka and PostgreSQL, reducing processing latency and increasing throughput for document parsing tasks.
  • 🛡️ Compliance: Advanced guardrails for data integrity and privacy standards

Core capabilities:
  • No-code, customizable guardrails
  • AI threat detection (e.g., prompt injection, data leakage)
  • Real-time intervention (block/redact)
  • Built-in compliance monitoring (GDPR, HIPAA, etc.)

My Role

Senior Software Engineer - AI

CESAREO

cesareoleon35@gmail.com