AI founder. Product leader. Builder at the intersection of applied AI, APIs, and infrastructure at scale.
- I founded PlanetWatchers, a satellite imagery startup that translated deep learning research into a production cloud-native platform.
- Alongside that, 12+ years leading product at companies where AI/ML meets real-world systems at scale.
- These days, building Flare (LLM-first cloud log anomaly detection), and researching a new load-aware scheduler for multi-agent systems. It routes tokens to the highest-value work, and tracks spend across every agent.
Building an LLM-first security product that connects to multi-cloud audit logs and surfaces what doesn't fit: unusual IPs, privilege escalations, and permission spikes. Ranked by severity and explained in plain English.
No ingestion fees. No rules to write. Your raw logs never leave your cloud.
tryflare.ai · Now in beta · Started with GCP, AWS & Azure coming soon
Founded a geospatial AI startup for monitoring large-scale natural resources. Translated deep learning research (U-Net architecture) into a production platform. Built and monetized the product from zero to $$ ARR through founder-led GTM, partnering directly with research teams from inception to Series A.
SpaceNews coverage · Planet.com: Satellite data and AI in agriculture insurance
Led the messaging developer platform, generating $B+ in revenue opportunity across third-party APIs and Ads Manager. Built and shipped LLM-based products at scale.
Built ML-powered observability products at scale.
- AI in cloud security - shipping LLM-first threat detection that replaces rules-based SIEMs. Flare is my current bet.
- Applied AI that ships - closing the gap between frontier research and production systems
- Safe and interpretable AI - reliability and steerability as first-class product properties
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
Open to conversations about AI in security, observability, and the applied AI ecosystem.