Partha Mehta

Partha Mehta

AI Engineer | AI Security | Agents, LLMs

About

• Software, AI & Data Engineer with 5+ years of experience building cloud-scale data platforms, distributed systems, and AI-powered applications. • Currently building AI agents, RAG systems, MCP servers, and security tooling for autonomous AI workflows. Previously worked across cybersecurity, cloud infrastructure, data engineering, and machine learning, delivering production systems using Python, Go, PySpark, AWS, Databricks, Kubernetes, and Terraform. • Interested in AI agents, AI security, observability, developer tools, LLM infrastructure, and open-source products. Always exploring ways to make AI systems more secure, reliable, and useful in real-world environments.

Badges

Tastemaker
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Gone streaking 10
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Gone streaking 5
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Maker History

Forums

Launching Tuesday - what security layer do you use for LLM API calls?

We're launching OpenClaw LLM Proxy on Tuesday at 12:01 AM PDT - a drop-in OpenAI API replacement with built-in PII scanning and injection detection.

Curious to hear from the community before we go live: when you send prompts to OpenAI/Anthropic/Google, is there anything scanning for sensitive data before it reaches the provider?

Partha Mehta•

7d ago

Show PH: OpenClaw - LLM proxy with built-in PII scanning

Hey PH! We're building OpenClaw LLM Proxy and would love early feedback.

It's a drop-in OpenAI API replacement that scans every prompt and response for PII (SSN, credit cards, API keys) and injection attacks before they reach the provider. Block, redact, or log.

Partha Mehta•

2mo ago

Sentinel - AI agent security platform, install once, protect everything

Unified security platform that protects every AI agent on your machine, zero code changes. One install script. 8 security hooks inspect every stage from prompt to response. 9 DLP scanners block PII, credentials, and secrets. 3-layer prompt injection detection in <1ms. 40+ compliance breach types across fintech, healthcare, and pharma — with SHA-256 immutable audit logs. LLM proxy tracks cost, latency, and tokens across 16 models. Unified dashboard with real-time events and trace visualization.
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