Product leader, founder, and hands-on builder working where AI/ML meets real-world systems at scale - currently focused on cloud security and multi-agent orchestration.
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LLM-first cloud log anomaly detection Connect your audit logs and surface what does not fit, explained in plain English. No rules to write. No ingestion fees. |
Cost firewall for AI agents An open-source scheduler, budget circuit breaker, and cost-attribution layer for teams running agentic AI in production. Landing page → · Docs → · GitHub → · PyPI → |
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Security skills for AI coding agents Drop-in skill verification, cost tracking, tool authorization, behavioral anomaly detection, and pre-execution safety checks. |
🌊 Resurface (Coming soon)A private place for what matters Save links, text, and screenshots in one calm library, then bring back the useful context, next move, or brief when it matters. |
Field notes from a month of using two AI coding agents together: the quiet bugs a second model caught, why model disagreement is useful, the metric I started tracking, and where cross-model workflows still fall short.
Notes from building and evaluating LLM-first cloud anomaly detection in the real world.
A 20-seed simulation showing how one scheduling knob trades draining the deepest agent backlogs against fairness, including the point where a third of the agents starve.
Hands-on stress tests of raw Google ADK across runaway loops, growing context, concurrent agents, shared state, and the production controls a managed platform still needs to provide.
How four Flare GitHub Actions extend cloud security from pre-merge checks through deployment verification, continuous monitoring, and incident investigation.
- Meta - Led the messaging developer platform, a billion-dollar-plus revenue opportunity spanning third-party APIs and Ads Manager. Built and shipped LLM-based products at scale.
- PlanetWatchers - Founded a geospatial AI startup for monitoring natural resources at scale: deep learning research → production platform → revenue. Planet.com coverage →
- Sumo Logic & AppDynamics - Built ML-powered observability products.
- AI-first threat detection that replaces rules-based SIEMs
- The economics and orchestration of multi-agent systems
- Turning frontier research into safe, interpretable production AI
- Discovering Anomalies and Root Causes in Applications via Relevant Fields Analysis
- A Message-Passing and Load-Sensitive Contention-Based MAC Protocol for Ad-Hoc Wireless Networks