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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:
Core capabilities:
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